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IEEE Antennas and Propagation Society International Symposium. 2001 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (Cat. No.01CH37229)
AI
The paper discusses the evolution of smart antennas, beginning with sidelobe cancelers from the 1950s to contemporary designs. It explores the mechanism by which smart antennas enhance performance through modifications in signal reception and cancellation of unwanted interference. The work highlights key technologies such as adaptive antennas, digital beamforming, and their implications for improving signal quality in complex environments.
Adaptive array antennas play an important role in wireless communications systems. The chapter begins with a brief introduction to evolution of the wireless communications systems. After that, the current and up-coming applications of adaptive array antennas in the wireless communications systems are described. The structures and implementation of the adaptive array antennas systems, including switched-beam antennas, phased array antennas, digital beamforming (DBF) array antennas, parasitic array antennas and diversity antennas are described in the fourth part of the chapter. In the last section of the chapter comparison between different adaptive array antenna architectures and conclusion are made.
International Journal of Research, 2014
Smart antennas are systems attract lot attentions now and believably more in the future, as it can increase the capacity of mobile communication systems dramatically. Design of smart antenna systems combines the technologies of antenna design, signal processing, and hardware implementation. : A smart antenna is therefore a phased or adaptive array that adjusts to the environment. That is, for the adaptive array, the beam pattern changes as the desired user and the interference move; and for the phased array the beam is steered or different beams are selected as the desired user moves. The early smart antenna systems were designed for use in military applications to suppress interfering or jamming signals from the enemy. The proposed research work gives us an overall view of basic smart antennas and its techniques.
This paper presents brief account on smart antenna (SA) system. Smart or adaptive antenna arrays consist of an array of antenna elements with signal processing capability that optimizes the radiation and reception of a desired signal dynamically. SAs can place nulls in the direction of interferers via adaptive updating of weights linked to each antenna element. SAs thus cancel out most of the co-channel interference resulting in better quality of reception and lower dropped calls. SAs can also track the user within a cell via direction of arrival algorithms.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022
Smart antennas have received increasing interest for improving the performance of wireless radio systems. These systems of antennas include a large number of techniques that attempt to enhance the received signal, suppress all interfering signals, and increase capacity, in general. The main purpose of this article is to provide an overview of the current state of research in the area of smart antennas, and to describe how they can be used in wireless systems. A smart antenna takes advantage of diversity effect at the source (transmitter), the destination (receiver), or both. Diversity effect involves the transmission and/or reception of multiple radio frequency (RF) waves to increase data speed and reduce the error rate. Thus, this article provides a basic model for determining the angle of arrival for incoming signals, the appropriate antenna beamforming, and the adaptive algorithms that are currently used for array processing. Moreover, it is shown how smart antennas, with spatial processing, can provide substantial additional improvement when used with TDMA and CDMA digitalcommunication systems. I.
2009 IEEE Antennas and Propagation Society International Symposium, 2009
In the last decade, the need of effective mobile communication devices has favored the development of wireless technologies. Nowadays, the demand of dealing with complex communication scenarios characterized by multiple users and standards fosters the study of systems able to provide a suitable quality of service (QoS) and an enhanced security [1]. In such a framework, smart antennas have been recognized as promising tools for an efficient management of the physical layer. As a matter of fact, these systems are aimed at maximizing the signal-to-interference-plus-noise ratio (SINR) at the receiver by steering the main lobe of the beam pattern to track the desired signals and placing attenuations to cancel the interferences. With respect to standard solutions, smart antennas allow to increase the channel capacity and the service coverage . Although the effectiveness of a hardware implementation has been theoretically proved, the technological difficulties and costs for the implementation of fullyadaptive solutions prevented up till now the application of smart antennas in wireless communications. Some prototypes have been implemented making use of complex acquisition systems, where the signal is collected at the receiver and at the output of the array elements in order to compute the co-variance matrix . On the other hand, simpler fully-adaptive systems based on the measurement of the received signal at the receiver have been also implemented . In both cases, the effectiveness of the implementation has been assessed by comparing measured and simulated radiation patterns in correspondence with a single interferer incoming from a fixed direction. Recently, a smart antenna prototype characterized by a simple functional scheme has been proposed in . In this implementation, the signals collected by the array elements are suitably weighted by the hardware control unit according to an iterative strategy based on the Particle Swarm Optimizer (PSO) in order to maximize a suitable fitness function. The antenna has been preliminarily validated by considering both the behavior of the SINR in a complex scenario and the capability of placing nulls in suitable positions of the radiation pattern. In addition, the measured quantities have been compared with the simulations provided by a simple system model . In order to take into account the complexity of the hardware implementation, this paper proposes an innovative model of the adaptive system based on the integration of the strategy proposed in [6] with a suitable fitness function. After presenting the mathematical formulation, the proposed approach is validated by considering real data collected in an experiment modeling a complex interference scenario.
Journal of Communications and Networks, 2000
Microwave Magazine, IEEE, 2004
2021
The quantity of cellular customers are increasing rather all over the world. It's far necessary to growth the channel bandwidth and capacity and on the identical time minimize the channel interference. Smart antennas are considered as an effective counter measure to achieve these necessities because they provide extensive bandwidth, less electromagnetic interference, flexibility, less weight, excessive velocity, phase control unbiased of frequency and coffee propagation loss. Smart antennas integrate the antenna array with sign processing to optimize mechanically the beam pattern in reaction to the acquired signal. Beam forming may be used for both radio or sound waves; it has determined numerous programs in radar, sonar, seismology, wireless communications, radio astronomy, speech and bio-medicine. This paper discuss the algorithm for blind and non blind adaptive beam forming technique for reliable wireless communication.
IEEE Transactions on Antennas and Propagation, 2002
A novel design of smart antenna system with adaptive beamforming capability is introduced for broad-band wireless communication. To achieve high data throughput of the multiantenna system, a parallel analog-digital (A/D) signal processing scheme is proposed. The essential idea is to realize the real-time beamforming using a heterodyne RF and IF circuitry. The bottleneck of digital signal processor (DSP) I/O and processing speed is thus relieved, while the advanced signal processing capability of the DSP chip is utilized. Based on this idea, a 5.8 GHz smart antenna receiver is implemented. Various experiments are carried out to examine the direction of arrival (DOA) estimation, beam synthesis, and bit error rate (BER) performances of the system. A 20-Mb/s data throughput using binary phase shift keying (BPSK) modulation is demonstrated for this eight-element adaptive array. Index Terms-Adaptive antennas, broad-band communication, direction of arrival (DOA) estimation, phased arrays, wireless local area network (WLAN). R ECENTLY, wireless local area networks (WLANs) have received increased popularity due to their flexibility and convenience. A high-speed data rate is necessary in order to comply with the requirements of advanced services, such as internet broadcasting and conferencing. Due to the increasing over usage of the low end of the spectrum, people started to explore the higher frequency band for these applications, where more spectrum is available. In the U.S., about 300-MHz bandwidth in the Unlicensed National Information Infrastructure (U-NII) band from 5.2 to 5.8 GHz has been allocated for indoor or outdoor use of unlicensed applications. Some other countries consider the frequency band around 60 GHz as one of the most promising bands for wireless applications where giga bit data rates are possible. However, with higher frequencies, higher data rate, and higher user density, multipath fading and cross-interference become more serious issues, resulting in the degradation of bit error rate (BER). To combat these problems and to achieve higher communication capacity, smart antenna systems with adaptive beamforming capability have proven to be very effective in suppression of the interference and multipath signals . Smart antennas are often considered as phased-array antennas with adaptive control. In principle, traditional beamforming ap-Manuscript
Journal of Communications
Adaptive beamforming is one of the radio resource controlling systems and define as a process by which an adaptive spatial signal processing are performed on array of antennas. By the addition of the signals weights constructively in the preferred direction of signal, adaptive beamforming technique creates radiation pattern on antenna array thereby nulling pattern in the unwanted direction that is interference. These arrays are antennas in the smart antenna context. Adaptive beamforming are normally used to achieve spatial selectivity at transmitting and receiving ends. In this research work, adaptive beamforming algorithms techniques (Least Mean Square and Recursive Least Square) are considered for the smart antennas. Uniform array of isotropic elements M (10, 15, and 20) are considered having their coordinate system in the direction of y. The spacing of the antenna elements are varied at d (0.5λ, 0.6λ and 2λ). The angles at which the grating lobe appears, steering angle, and the antenna element's effect spacing on beamforming has been examined. The following are the observation as the antenna element spacing are increasing: (i) narrower main lobe, (ii) grating lobes, (iii) reduction in beamwidth (thus making the array more directional), and (iv) reduction in sidelobe level, thus improving beamforming. It has been also observed that there is no grating lobe when d/λ = 0.5, which we have considered as the optimal design spacing for the array antenna elements in the smart antenna..
ijceronline.com
Smart antennas are systems attract lot attentions now and believably more in the future, as it can increase the capacity of mobile communication systems dramatically. Design of smart antenna systems combines the technologies of antenna design, signal processing, and hardware implementation. : A smart antenna is therefore a phased or adaptive array that adjusts to the environment. That is, for the adaptive array, the beam pattern changes as the desired user and the interference move; and for the phased array the beam is steered or different beams are selected as the desired user moves. The early smart antenna systems were designed for use in military applications to suppress interfering or jamming signals from the enemy. The proposed research work gives us an overall view of basic smart antennas and its techniques.
–This paper presents a smart antenna system based on direction-of-arrival estimation and adaptive beamforming. A comparative analysis of theperformance of smart antennas with uniform linear arrays (ULA), uniform circular arrays (UCA) and uniform rectangular arrays (URA) is presented in this paper with the use of direction-of-arrival estimation and Least Mean Squares (LMS) filter for spatial filtering.
Journal of Applied …, 2009
In this work an array failure correction for Linear Antenna Array (LAA) is presented. This is carried out by means of an Adaptive Artificial Neural Network (AANN) that adjusts the amplitude and phase at beamforming. The appropriated corrections are given, when one, or two, or three elements have a failure in the antenna linear array. The AANN corrects the corresponding parameters in the radiation pattern obtained due to the failure, when we know the coefficients of the array factor (AF). This yields a reduction of side lobe level and some interferences disappear. RESUMEN En este trabajo se realiza una corrección de fallas para un Arreglo Lineal de Antenas (ALA). Esto se lleva a cabo mediante una Red Neuronal Artificial Adaptable (RNAA) que ajusta al generador del haz "beamforming" en amplitud y fase. Las pertinentes correcciones se dan, cuando en el arreglo lineal de antenas fallan uno, dos y hasta tres elementos. La RNAA corrige los debidos parámetros en el patrón de radiación obtenido para la falla, dados los coeficientes del Factor de Arreglo (AF).
ijsrp.org
Smart antenna technology has the potential to significantly increase the efficient use of the spectrum in wireless communication applications in comparison to the existing methods in use. Through intelligent control of the transmission and reception of signals, capacity and coverage in mobile wireless networks can be significantly improved. Smart antenna is one of the most promising technologies that will enable a higher capacity in wireless networks by effectively reducing multipath and co-channel interference [3], [4], [5], [6]. This is achieved by focusing the radiation only in the desired direction and adjusting itself to changing traffic conditions or signal environments. Smart antennas employ a set of radiating elements arranged in the form of an array. The signals from these elements are combined to form a movable or switchable beam pattern that follows the desired user. In a Smart antenna system the arrays by themselves are not smart, it is the digital signal processing that makes them smart. The process of combining the signals and then focusing the radiation in a particular direction is often referred to as digital beam forming [3], [4].
2013
Adaptive array antennas use has been limited to non-commercial applications due to their high cost and hardware complexity. The implementation cost of adaptive array antennas can be kept to a minimum by using cost effective antennas, reducing the number of elements in the array and implementing efficient beamforming techniques. This thesis presents techniques for the design of adaptive array antennas which will enable their cost effective implementation in wireless communication systems. The techniques are investigated from three perspectives, namely, reconfigurable antenna design, wide scan array design and single-port beamforming technique. A novel single-feed polarisation reconfigurable antenna design is proposed in the first stage of this study. Different polarisation states, namely, linear polarisation (LP), left-hand circular polarisation (LHCP) and right-hand circular polarisation (RHCP), are achieved by perturbing the shape of the main radiating structure of the antenna. The...
Smart antennas in the recent days are considered interested for improving the performance of wireless communication in different field. Smart antennas as systems of antennas include huge variety of techniques that tries to increase the received signal strength, suppress the interfering signals, and hence increase the over all SNR of the system. The supreme objective of this paper is to provide an overview of the status of research in the area of smart antennas, and to relate it with the present scenario of wireless communication systems. Adding value to the paper it also briefly describes the different adaptive algorithms used in the smart antenna systems which are currently used for array processing LMS, RLS and CMA their variants like NLMS, MILMS, BBNLMS, NLVFFRLS, LCMA, OCMA, SMI etc. Moreover, it is also shown how smart antennas; can provide substantial additional improvement when used with TDMA and CDMA digital-communication systems for spatial processing. Direction of Arrival (DOA) is also consider as one of the important parameter of smart Antenna and hence discussed in the paper. In today scenario when demand for the spectrum is increasing very rapidly, proper usage of spectrum is must and smart antenna is one the emerging technology which can fill the requirement.
This paper presents brief account on smart antenna (SA) systemfor mobile wireless communications, The adoption of smart / adaptive antenna techniques in future wireless systems is expected to have a significant impact on the efficient use of the spectrum, the minimization of the cost of establishing new wireless networks, the optimization of service quality and realization of transparent operation across multi technology wireless networks [1]. This paper presents brief account on smart antenna (SA) system. SAs can place nulls in the direction of interferers via adaptive updating of weights linked to each antenna element. SAs thus cancel out most of the co-channel interference resulting in better quality of reception and lower dropped calls. The paper further explains about the radiation pattern of the antenna and why it is highly preferred in its relative field. The capabilities of smart / adaptive antenna are easily employable to Cognitive Radio and OFDMA system.
2015
— The use of adaptive antenna systems enables the network operators to increase the wireless network capacity, where such networks are expected to experience an enormous increase in the traffic. This is due to the increased number of users as well as the high data rate service and applications. In addition, adaptive antenna systems offer the potential of increased spectrum efficiency, extended range of coverage and higher rate of frequency reuse. The purpose of this article is to give an overview of the technology and the fundamental system model and used algorithms. Keywords—Adaptive antenna, smart antenna, steering vector.
TENCON 2008 - 2008 IEEE Region 10 Conference, 2008
Smart antenna is recognized as promising technologies for higher user capacity in 3G wireless networks by effectively reducing multipath and co-channel interference. Advent of powerful, low-cost, digital processing components and the development of software-based techniques has made smart antenna systems a practical reality for both base station and mobile station of a cellular communications systems in the next generation. The core of smart antenna is the selection of smart algorithms in adaptive array. Using beam forming algorithms the weight of antenna arrays can be adjusted to form certain amount of adaptive beam to track corresponding users automatically and at the same time to minimize interference arising from other users by introducing nulls in their directions. Thus interferences can be suppressed and the desired signals can be extracted. This research work provides description, comparative analysis and utility of various reference signal based algorithms as well as blind adaptive algorithms. Exhaustive simulation study of beam patterns and learning characteristics have proved the efficacies of the proposed work from application point of view.
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