Rajoo Pandey

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David Seamon

Kansas State University

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UNL - New University of Lisbon

Giovanni Capurso

Università degli Studi di Udine / University of Udine

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Field Museum

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Indira Gandhi Centre for Atomic Research

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Kalasalingam University

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Apcoms

Arez Ahmed

KTH Royal Institute of Technology

Nishit Pandya

Ahmedabad University

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Universitat Politecnica de Catalunya

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Papers by Rajoo Pandey

A Spectrally Efficient Intercarrier Interference Reduction Scheme for Orthogonal Frequency Division Multiplexing Systems in Low Signal-to-noise Ratio Environment

IETE Journal of Research, 2013

Abstract The inherent sensitivity of orthogonal frequency division multiplexing (OFDM) systems to... more Abstract The inherent sensitivity of orthogonal frequency division multiplexing (OFDM) systems to any frequency shift in the signal makes their design very challenging. In OFDM systems, the frequency shift may be due to instability of transmitter/ receiver oscillators or because of fading channel. The frequency shift in the signal destroys the orthogonality among subcarriers and results in intercarrier interference (ICI), which affects the system performance severely. A number of solutions are available to mitigate the effect of ICI. The existing ICI mitigation techniques include frequency equalization, time domain windowing, ICI self-cancellation, coding, etc., Among several ICI reduction methods, ICI self-cancellation scheme has received much attention due to its simplicity. The ICI mitigation schemes that depend on carrier frequency offset (CFO) correction at the transmitter are effective under high signal-to-noise ratio (SNR) scenario and those that depend on CFO estimation and correction at the receiver have additional computational complexity and some sort of data symbol redundancy. In this paper, a bandwidth-efficient ICI reduction method for M-ary QAM signals is proposed. The present method is effective in low SNR environment. This method reduces the effect of ICI and improves the performance of the system in terms of bit error rate. It is shown that the proposed ICI cancellation method considerably outperforms the existing ICI self-cancellation schemes in the presence of small CFO while maintaining the throughput level.

A New Scheme for Impulse Detection in Switching Median Filters for Image Filtering (PDF)

... Awadhesh Kumar Singh Dept.of CoE, NIT Kurukshetra (Haryana)-INDIA aksinreck@rediffmail. com R... more

Cooperative spectrum sensing for cognitive radio networks in the presence of smart malicious users

AEU - International Journal of Electronics and Communications, 2014

Research on energy balance in hierarchical clustering protocol architecture for WSN

For proper and efficient design of wireless sensor network, minimum energy consumption within the... more For proper and efficient design of wireless sensor network, minimum energy consumption within the sensors and a longer lifespan of sensor network has been posing a serious challenge for the engineers and scientists. Clustering infrastructure which allows efficient use of available resource has great potential in solving the problems of resource limited wireless sensor network. Attempts are made in this paper to propose a new routing algorithm that have been named as Hierarchical LEACH (H-LEACH) and Hierarchical LEACH-DT (H-LEACH-DT) which are basically hierarchical extensions of existing LEACH and LEACH-DT protocols respectively. Further simulation based performance evaluation of the proposed two schemes has been compared with LEACH and LEACH-DT protocols. The outcome of the paper suggest that hierarchical routing protocols perform much better than LEACH and LEACH-DT protocols which will ultimately lead to improvement of the lifetime of the WSN.

Double threshold based spectrum sensing technique using sample covariance matrix for cognitive radio networks

2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA)

The spectrum sensing is a vital stage in cognitive radio networks. The performance of energy-base... more The spectrum sensing is a vital stage in cognitive radio networks. The performance of energy-based spectrum sensing scheme degrades under noise uncertainty, which can be improved by covariance-based sensing methods. In this paper, a double threshold-based spectrum sensing scheme using sample covariance matrix of received signal is presented, that improves the performance of conventional covariance-based spectrum sensing methods. The two thresholds are derived using random matrix theory. The performance of proposed scheme is verified through simulations.

An improved DFT-IDFT based ICI cancellation scheme for OFDM systems

Orthogonal frequency division multiplexing is widely known as the promising technique for the bro... more Orthogonal frequency division multiplexing is widely known as the promising technique for the broadband wireless mobile communication system. The main drawback of OFDM systems is its sensitivity to frequency offset, which causes intercarrier interference (ICI) in the OFDM symbols. This ICI degrades the bit error rate (BER) performance of the system. In this paper an improved discrete Fourier transform-inverse discrete Fourier transform (DFT-IDFT) based ICI cancellation scheme is proposed to improve the system performance. The simulation results show that there is satisfactory improvement in the bit error rate (BER) performance of the present scheme.

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Adaptive threshold based impulse detection for restoration of digital images

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT), 2016

The choice of appropriate value of threshold in median-based impulse detection method becomes dif... more The choice of appropriate value of threshold in median-based impulse detection method becomes difficult due to its dependence on the noise density and image characteristics. In the case of random valued noise(RVIN), if a fixed value of threshold is used then it will result into large percentage of missed and false detection. Therefore, a variable threshold governed by the local image characteristics, is required for detection of RVIN. Here, we present an impulse detector in which the value of threshold depends on window under observation. The extensive simulations exhibit the efficacy of the method in respect of both random valued as well as salt and pepper noise.

Data fusion and topology control in wireless sensor networks

WSEAS Transactions on Signal Processing archive, 2007

The design of large-scale sensor networks interconnecting various sensor nodes has spurred a grea... more The design of large-scale sensor networks interconnecting various sensor nodes has spurred a great deal of interest due to its wide variety of applications. Data fusion is a critical step in designing a wireless sensor network as it handles data acquired by sensory devices. Wireless sensor networks allow distributed sensing and signal processing while collaborating during energy efficient operations. Wireless sensor networks are battery powered; therefore prolonging the network lifetime through an energy aware node organization is highly desirable. The main goal of a topology control scheme in wireless sensor networks is to reduce power consumption in order to extend network lifetime. Our aim is to provide a better understanding of the current research issues in this field. The paper provides a more detailed look at some existing data fusion and topology management algorithms. The most important design issues of data fusion and topology control are also highlighted.

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Transmission Capacity Analysis of Vehicular Relay Assisted Device to Device Communication

A Collection of Contemporary Research Articles in Electronics, Communication and Computation

Application of Spectral Information in Identification of Real-Fake Face Images

The biometric authentication systems based on face recognition are easy to implement with any dev... more The biometric authentication systems based on face recognition are easy to implement with any device, which has an in-built camera. These systems are very secure, but with various attacking methods, such security also becomes vulnerable. Among various types of possible attacks, spoofing is an attack in which available face information is presented before the sensor to mislead the authentication system. In this paper, a model has been presented based on spectral analysis of the captured images to classify them as real faces and face images. We consider Fourier and cosine transform of the image for evaluation of various Image Quality Measures (IQMs), with which the classification is performed using neural networks. The proposed spectral contents based IQMs are compared with several conventional IQMs to judge their performance. The simulation on Replay-Attack database has shown the improvement in the performance of the present model.

An Improved Switching Median filter for Uniformly Distributed Impulse Noise Removal

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, 2008

The performance of an image filtering system depends on its ability to detect the presence of noi... more The performance of an image filtering system depends on its ability to detect the presence of noisy pixels in the image. Most of the impulse detection schemes assume the presence of salt and pepper noise in the images and do not work satisfactorily in case of uniformly distributed impulse noise. In this paper, a new algorithm is presented to improve the performance of switching median filter in detection of uniformly distributed impulse noise. The performance of the proposed scheme is demonstrated by the results obtained from computer simulations on various images. Keywords—Switching median filter, Impulse noise, Image filtering, Impulse detection.

ICI Cancellation in MIMO-OFDM Systems

The CFO destroys the orthogonality among subcarriers and hence causes ICI in MIMO-OFDM systems. T... more The CFO destroys the orthogonality among subcarriers and hence causes ICI in MIMO-OFDM systems. The ICI self-cancellation schemes, available in literature for SISO-OFDM systems, reduce the effect of ICI at the cost of spectral efficiency or system throughput. In this paper a new scheme is presented to reduce the effect of ICI with system throughput higher than that of ICI self-cancellation scheme for MIMO-OFDM system. This is achieved by equalization of the weighting coefficients.

Cooperative Spectrum Sensing Using Eigenvalue-Based Double-Threshold Detection Scheme for Cognitive Radio Networks

Advances in Intelligent Systems and Computing

Sensing spectrum in a reliable and efficient manner is a fundamental problem in cognitive radio n... more Sensing spectrum in a reliable and efficient manner is a fundamental problem in cognitive radio networks. The energy-based detection methods are highly noise uncertainty conditions. The eigenvalue-based detection schemes address the noise uncertainty problem, however, performance degrades under low SNR. The double-threshold-based eigenvalue detection scheme performs well under low SNR, but it is not reliable under fading environment and hidden terminal problem. Thus, ensuring cooperation among spectrum sensing devices is an appropriate method when cognitive radio network is under deep shadowing and in a fading environment. The artificial intelligent techniques can be used to find the spectrum hole. In this paper, a cooperative spectrum sensing scheme using double-threshold-based detection scheme is proposed. The threshold is obtained from ratios of eigenvalues of the sample covariance matrix. The random matrix theory is employed to quantify the threshold. The simulation results show that the proposed cooperative spectrum sensing scheme performs better than the existing eigenvalue-based detection scheme and energy-based detection method.

Random Valued Impulse Noise Removal in Colour Images using Adaptive Threshold and Colour Correction

To remove random valued impulse noise from colour images, an efficient impulse detection and filt... more To remove random valued impulse noise from colour images, an efficient impulse detection and filtering scheme is presented. The locally adaptive threshold for impulse detection is derived from the pixels of the filtering window. The restoration of the noisy pixel is done on the basis of brightness and chromaticity information obtained from the neighbouring pixels in the filtering window. Experimental results demonstrate that the proposed scheme yields much superior performance in comparison with other colour image filtering methods.

Eigenvalue-based reliable spectrum sensing scheme for cognitive radio networks

In cognitive radio, the secondary user (SU) can only utilize the spectrum hole with assurance of ... more In cognitive radio, the secondary user (SU) can only utilize the spectrum hole with assurance of sufficient protection to the licenced primary user (PU). In this paper, a reliable spectrum sensing scheme based on eigenvalue of sample covariance matrix of received signal is proposed. The conventional energy-based detection method is highly vulnerable under noise uncertainty and eigenvalue-based method overcomes it. Also, the performance of existing eigenvalue-based scheme deteriorates at low signal to noise ratio (SNR). This degradation of performance at low SNR can be overcome by choosing optimum number of samples in spectrum sensing interval. Here, the optimum number of samples for given SNR is proposed, also the theoretical analysis and numerical formula for optimum samples are presented. The simulation results evidence the performance of proposed sensing scheme is better than existing eigenvalue-based method and conventional ED-based spectrum sensing methods.

Blind Estimation of Carrier Frequency Offset in Multicarrier Communication Systems

Orthogonal Frequency Division Multiplexing (OFDM) systems are very sensitive to carrier frequency... more Orthogonal Frequency Division Multiplexing (OFDM) systems are very sensitive to carrier frequency offset (CFO), caused by either frequency differences between transmitter and receiver local oscillators or by frequency selective channels. The CFO disturbs the orthogonality among subcarriers of OFDM system and results intercarrier interference (ICI), which degrades the bit error rate (BER) performance of the system. This paper presents a new blind CFO estimation scheme for single-input single-output (SISO) OFDM systems. The presented scheme is based on the assumption that the channel frequency response changes slowly in frequency domain. In this scheme an excellent tradeoff between complexity and performance, as compared to existing estimation schemes, is obtained. The improved performance of the present scheme is confirmed through extensive simulations.

Local Pixel Statistics and Correlation Based Impulse Detection for Denoising of Digital Color Images

In this paper we present a new impulse detection scheme to remove impulse noise from color images... more In this paper we present a new impulse detection scheme to remove impulse noise from color images. The proposed impulse detector uses the filtering window statistics and the correlation among color components for identification of noisy pixels. The use of correlation existing among RGB channels further improves the reliability of the detector. The restoration of the noisy pixel is done on the basis of brightness and chromaticity information obtained from the neighbouring pixels in the filtering window. The proposed method performs better than both the component-wise filtering as well as vector-based filtering approaches. The efficacy of the present method is demonstrated through extensive computer simulations.

Investigating Clustering Algorithms in Microsensor Networks

The design of a microsensor network has to be carried out under several constraints, e.g., limite... more The design of a microsensor network has to be carried out under several constraints, e.g., limited energy source and dynamic network topology. One practical design scheme in WSNs is clustering. Clustering is an energy efficient and scalable way to organize the WSN. Clustering can stabilize the network topology at the level of sensors and thus cuts on topology maintenance overhead. Recently, a number of clustering algorithms have been specifically designed for WSNs. These proposed clustering techniques widely vary depending on the overall network architectural and operation model and their objectives. In this paper, classification of clustering algorithms is carried out i.e. as energy efficient type, duty cycle control type and third type is the one derived from classic graphic theory. In this paper focus is on the energy efficient type of clustering protocols. Furthermore, classification and analysis of energy efficient protocols viz. LEACH and PEGASIS is presented. Also a hybrid ap...

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Selective self ICI cancellation scheme for OFDM systems

Orthogonal frequency division multiplexing (OFDM) is a well-suited multiplexing scheme for the fo... more Orthogonal frequency division multiplexing (OFDM) is a well-suited multiplexing scheme for the fourth generation (4G) communication systems. The major drawback of OFDM systems is intercarrier interference (ICI), which degrades the system performance considerably. A self ICI cancellation scheme, proposed by Zaho, and Armstrong, improves the system performance in terms of symbol error rate (SER) and carrier to interference ratio (CIR) but reduces the system throughput to half as compared to normal OFDM. This paper presents a selective ICI self-cancellation scheme that improves the system throughput and reduces the SER for higher order modulation schemes (i.e. for 16-QAM, 32-QAM etc).

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Cooperative spectrum sensing for cognitive radio using ME detection in presence of correlated noise

2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2017

In this paper, the problem of primary user detection in the presence of noise correlation, which ... more In this paper, the problem of primary user detection in the presence of noise correlation, which is due to oversampling and imperfections in filtering in the receiver of Cognitive Radio, is considered. For this scenario, a new threshold is derived for detection of primary user based on maximum eigenvalue statistics by using the recent Random Matrix Theory results. A cooperative spectrum sensing is carried out by using the proposed threshold. Here the probability of detection is used to evaluate the spectrum sensing performance. Simulation results show that the new threshold improves the spectrum sensing performance under the correlated noise scenario.

A Spectrally Efficient Intercarrier Interference Reduction Scheme for Orthogonal Frequency Division Multiplexing Systems in Low Signal-to-noise Ratio Environment

IETE Journal of Research, 2013

A New Scheme for Impulse Detection in Switching Median Filters for Image Filtering (PDF)

... Awadhesh Kumar Singh Dept.of CoE, NIT Kurukshetra (Haryana)-INDIA aksinreck@rediffmail. com R... more

Cooperative spectrum sensing for cognitive radio networks in the presence of smart malicious users

AEU - International Journal of Electronics and Communications, 2014

Research on energy balance in hierarchical clustering protocol architecture for WSN

Double threshold based spectrum sensing technique using sample covariance matrix for cognitive radio networks

2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA)

An improved DFT-IDFT based ICI cancellation scheme for OFDM systems

Download

Adaptive threshold based impulse detection for restoration of digital images

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT), 2016

Data fusion and topology control in wireless sensor networks

WSEAS Transactions on Signal Processing archive, 2007

Download

Transmission Capacity Analysis of Vehicular Relay Assisted Device to Device Communication

A Collection of Contemporary Research Articles in Electronics, Communication and Computation

Application of Spectral Information in Identification of Real-Fake Face Images

An Improved Switching Median filter for Uniformly Distributed Impulse Noise Removal

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, 2008

ICI Cancellation in MIMO-OFDM Systems

Cooperative Spectrum Sensing Using Eigenvalue-Based Double-Threshold Detection Scheme for Cognitive Radio Networks

Advances in Intelligent Systems and Computing

Random Valued Impulse Noise Removal in Colour Images using Adaptive Threshold and Colour Correction

Eigenvalue-based reliable spectrum sensing scheme for cognitive radio networks

Blind Estimation of Carrier Frequency Offset in Multicarrier Communication Systems

Local Pixel Statistics and Correlation Based Impulse Detection for Denoising of Digital Color Images

Investigating Clustering Algorithms in Microsensor Networks

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Selective self ICI cancellation scheme for OFDM systems

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Cooperative spectrum sensing for cognitive radio using ME detection in presence of correlated noise

2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2017

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