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《Avionics Technology》 2007-01
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DOA Estimation via Iterated QR Decomposition

YANG Dai-ming~(1,2) GONG Cheng~2 ZHENG Shi-bao (1.Department of Electronics Engineering,Shanghai Jiaotong University,Shanghai,200030,China; 2.Chinese Aeronautical Radio Electronics Research Institute,Shanghai,200233,China)  
A Direction of Arrival(DOA)estimation algorithm based on iterative QR decomposition is proposed in this paper.Conventional subspace based algorithms for DOA evaluation estimate the DOA parameters by tracking either the signal subspace or noise subspace of the covariance matrix of the received signal.This approach needs huge volumes of computation,and is hence also very expensive with ASIC implementation.In this paper,the iterative QR decomposition is employed to perform the eigenvalue decomposition(EVD)to obtain the noise subspace of the covariance matrix.It significantly reduces the hardware resource in ASIC implementation.Simulation results indicate that a 0.23mrad estimation accuracy is achieved at a 10dB SNR,and so this approach is effective and reliable.
【CateGory Index】: V243.1
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【Co-references】
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1 Su Weimin Sun Hongbo Gu Hong Liu Guosui (Research Center of Electronic Engineering and Technology Nanjing University of Science and Technology, Nanjing, 210094);GROUND CLUTTER MODELS AND SIMULATION FOR TWO TYPES OF AIRBORNE RADARS[J];Acta Armamentarii;2002-03
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