“…In recent years, a lot of researches have been accomplished for DOA estimation, including different methods, different signals and system conditions, different array geometries and applications [17][18][19]. Some DOA estimation algorithms are Maximum Likelihood method, Linear Prediction method, Capon method, Multiple Signal Classification (MUSIC) method, and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) method [20][21][22][23].…”
Third-Generation based Wide Band Code DivisionMultiple Access (W-CDMA) networks have been characterized for high data rate services accessible to a large number of users. But multipath and co-channel interference puts a limit on system capacity, throughput and new multimedia information services like wireless internet or video streaming. Smart antenna technique that includes Direction of Arrival (DOA) approach and Adaptive Beamforming algorithm is a promising means to improve the over-all system capacity and to overcome limited spectrum problem by effectively reducing the multipath and co-channel interference. In this paper, DOA estimation is done by Multiple Signal Classification (MUSIC) algorithm and Minimum Variance Distortionless Response (MVDR) algorithm is used for adaptive beamforming that continuously adjusts the weight of antenna arrays for creating a beam to track the desired user automatically, and to place null towards the interference user. Here, we improve on the MVDR method in order to assign the weightings. Instead of using a single linear equality constraint, a variable constraint has been used to obtain the optimum weights that decrease the gain in the undesired direction and desired direction comes out with more gain and without distortion. Obtained results are analyzed for the conventional method and the proposed method by observing beamforming spectrum by first varying number of antenna elements and then by varying the spacing between elements. For both the cases, the performance is better for the proposed method in terms of lower noise floor, more relative power and sharper peaks in the desired user direction than conventional method.
“…In recent years, a lot of researches have been accomplished for DOA estimation, including different methods, different signals and system conditions, different array geometries and applications [17][18][19]. Some DOA estimation algorithms are Maximum Likelihood method, Linear Prediction method, Capon method, Multiple Signal Classification (MUSIC) method, and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) method [20][21][22][23].…”
Third-Generation based Wide Band Code DivisionMultiple Access (W-CDMA) networks have been characterized for high data rate services accessible to a large number of users. But multipath and co-channel interference puts a limit on system capacity, throughput and new multimedia information services like wireless internet or video streaming. Smart antenna technique that includes Direction of Arrival (DOA) approach and Adaptive Beamforming algorithm is a promising means to improve the over-all system capacity and to overcome limited spectrum problem by effectively reducing the multipath and co-channel interference. In this paper, DOA estimation is done by Multiple Signal Classification (MUSIC) algorithm and Minimum Variance Distortionless Response (MVDR) algorithm is used for adaptive beamforming that continuously adjusts the weight of antenna arrays for creating a beam to track the desired user automatically, and to place null towards the interference user. Here, we improve on the MVDR method in order to assign the weightings. Instead of using a single linear equality constraint, a variable constraint has been used to obtain the optimum weights that decrease the gain in the undesired direction and desired direction comes out with more gain and without distortion. Obtained results are analyzed for the conventional method and the proposed method by observing beamforming spectrum by first varying number of antenna elements and then by varying the spacing between elements. For both the cases, the performance is better for the proposed method in terms of lower noise floor, more relative power and sharper peaks in the desired user direction than conventional method.
“…In array signal processing Direction of Arrival estimation (DOA) stands for estimating the angles of arrivals of received signals by an array of antennas [1].The applications of this DOA estimation are such as in audio processing, wireless communication, radar and sonar, seismology, and wireless emergency call locating [3]. A smart antenna, is a system that combines multiple antenna elements with a signal processing capability to optimize its radiation pattern automatically in response to the system signal environment.In smart antenna systems, DOA estimation is anecessary process to find out the direction of incoming signals and thus to direct the beam of the antenna array towards the estimated direction and placing null towards interference signals.…”
Section: Introductionmentioning
confidence: 99%
“…Many resolution algorithms for DOA estimation are proposed such as Conventional spectral-based method and sub-spaced based and statistical method [3]. Conventional method for DOA estimation is based on the beamforming and null-steering concept, is straightforward, depends on physical size of array and requires low computation complexity.…”
Section: Introductionmentioning
confidence: 99%
“…In real applications, when the number of sources is incorrectly estimated and the coherent signals existed due to multipath fading, the performance of subspace-based methods will degenerate significantly. To avoid the problem of source estimation of high computational complexity, Capon algorithm can be applied in DOA estimation but with the cost of lower resolution compared with subspace-based method [3].…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, Capon algorithm, which has less computational complexity than subspace-based methods, is used as the basis to derive the proposed algorithm (Caponlike) algorithm. The proposed algorithm is similar to the Capon algorithm in one aspect, which is to minimize power from all direction subject to specific gain in the "look direction"; hence it is named Capon-like algorithm [3].…”
Wireless communications is one of the most active areas of technology development, since it is satisfying the demand for increasing system capacity.The system capability is improved using Direction-of-Arrival (DOA) estimation algorithm that corresponds to seek out the direction during which desired user and therefore the interference lie for antenna array. This paper investigates and compares Capon and Capon-like DOA estimation algorithm on the uniform linear array (ULA) which are used in design of smart antenna system. The Capon-like algorithm is based on Capon algorithm through the introduction of a new optimization problem, in order that which aims to maintain the array gain in the 'look direction' is constant, usually unity. To verify the performance of the proposed algorithm, simulations are performed and then the results obtained are compared with the Capon algorithm.
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