Direction of arrival tracking for signals with known waveforms based on block least squares techniques |
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| Authors: | Jian-Feng Gu Wei-Ping Zhu MNS Swamy |
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| Institution: | 1. Zhuhai Naruida Technology Ltd., Guangdong 519080, China;2. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC H3G 1M8, Canada |
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| Abstract: | In this paper, we address the problem of tracking DOA of multiple moving targets with known signal source waveforms and unknown gains in the presence of Gaussian noise using a nonuniform linear array. Herein, we make use of the fact that the output of each sensor can be described as a linear regression model whose coefficients each contain a pair of DOA and gain information corresponding to one target. These coefficients are determined by solving a linear least squares (LS) problem and then updated recursively based on a block QR decomposition recursive least squares (QRD-RLS) technique or a block regularized LS technique. Since the coefficients from different sensors have the same amplitude but variable phase information for the same signal, along with simple algebraic manipulations the well-known generalized least squares (GLS) are used to obtain an asymptotically-optimal DOA estimate without requiring a search over a large region of the parameter space. Computer simulations show that the proposed DOA tracking techniques when applied to a sparse antenna array can provide a better tracking performance than some of the existing methods do. |
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| Keywords: | Corresponding author |
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