Trends in Adaptive Array Processing

Abstract

Enormous progress has been made during the past five decades in the area of adaptive array processing. Increased computational power has resulted in many practical applications of optimum algorithms. The present paper deals with many facets of array signal processing and adaptive beam forming. It provides a comprehensive description of various beam-forming schemes, adaptive algorithms to adjust the required weighting on antenna elements, direction-of-arrival estimation methods, including their performance comparison. The effects of various types of errors on the performance of an array system are illustrated along with their remedial measures. Since array signal processing has widespread applications, the study is carried out across various disciplines.

Application of microphone arrays for distant speech capture

“…В рамках настоящего обзора не представляется возможным описать данные алгоритмы сколько-нибудь подробно. Перечислим лишь группы алгоритмов, получивших наибольшее распространение [26,[39][40][41][42].  алгоритм задержки и суммирования;  алгоритмы фильтрации и суммирования;  алгоритмы обработки сигналов подрешеток;  алгоритмы сверхнаправленности;  алгоритмы формирования пространственного нуля;  алгоритмы минимума дисперсии шума (mvdr);  алгоритмы подавления боковых лепестков (GSC);  алгоритмы дереверберации;  алгоритмы пост-фильтрации Винера;  алгоритмы локализации и трассировки акустических источников;  алгоритмы разделения акустических источников.…”

Multiangulation position estimation performance analysis using a Bartlett’s Beamforming Method

“…Examples of subspace based AOA estimation techniques [12] include multiple signal classification (MUSIC), estimation of signal parameters via rotational invariance technique (ESPRIT), Pisarenko harmonic decomposition and Root-MUSIC. The classical techniques are based on beamforming and null-steering and require a relatively large number of antenna array elements to achieve high resolution [13]. These techniques include rotating directional antenna, phase interferometry, correlative interferometer, Doppler and pseudo-Doppler, Maximum Likelihood Technique, Bartlett Methodand Capon beamformer [5,12].…”

Adaptive Beamforming Algorithms for Cancellation of Multiple Interference Signals

“…The technique applied to Radar or Wireless Communications Systems enhances performance [1][2][3][4][5]. Minimum-Variance-Distortionless-Response (MVDR) is a classical method used in adaptive beamforming of an antenna array [6][7][8][9].…”

“…However, this approach increases hardware and computational processing complexity. Therefore, improvements to receiver hardware, antenna selection strategies and adaptive beamforming algorithms are imperative [5,18]. Herein, our paper focuses on the computation processing efficiency of the MVDR beamforming algorithms in terms of their convergence rate analysis and their interference cancellation performance in environments of multiple interference signals.…”