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Sensors 2017, 17(12), 2718; https://doi.org/10.3390/s17122718

Direction-Of-Arrival Estimation and Tracking Based on a Sequential Implementation of C-SPICE with an Off-Grid Model

1
Jiangsu Key Laboratory of Wireless Communication, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2
School of Internet of things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
*
Author to whom correspondence should be addressed.
Received: 25 September 2017 / Revised: 10 November 2017 / Accepted: 22 November 2017 / Published: 24 November 2017
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Abstract

This paper focuses on the problem of estimating and tracking time-varying direction-of-arrivals (DoAs) with an antenna array. A sequential DoA estimation method is proposed by extending the capon and sparse iterative covariance-based estimation (C-SPICE) method, which is an iterative off-grid method for estimating constant DoAs. Then, a moving average initialization technique is introduced such that the spatial spectrum information estimated in this snapshot can be utilized in the next one. In uniform linear arrays (ULAs), we replace the uniform grid in direction domain with that in a “frequency” domain, to improve estimation accuracy without additional complexity in practical applications. The validity and efficiency of the proposed methods are demonstrated through numerical experiments. View Full-Text
Keywords: DoA estimation; target tracking; sparse covariance fitting criterion; off-grid model DoA estimation; target tracking; sparse covariance fitting criterion; off-grid model
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Cai, S.; Shi, X.; Zhu, H. Direction-Of-Arrival Estimation and Tracking Based on a Sequential Implementation of C-SPICE with an Off-Grid Model. Sensors 2017, 17, 2718.

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