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| Doppler Ambiguity Resolution Based on Compressive Sensing Theory |
| Zhang Yu-xi① Sun Jin-ping① Zhang Bing-chen② Hong Wen② |
①(School of Electronic and Information Engineering, Beihang University, Beijing 100191, China)
②(National Key Lab of MW Imaging Technology, Institute of Electronics,Chinese Academy of Sciences, Beijing 100190, China) |
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Abstract Multiple target Doppler ambiguity resolution is one of key processing techniques for low Pulse Repetition Frequency (PRF) radar. A new Doppler ambiguity resolution approach based on Compressive Sensing (CS) theory is presented. Making use of the characteristic of under sampling in the time domain during the Coherent Processing Interval (CPI) and the sparsity of Doppler spectrum of multiple PRF system, the CS model of Doppler ambiguity resolution is constructed and the Orthogonal Matching Pursuit (OMP) algorithm is adopted to estimate directly the response of Doppler spectrum without ambiguity. The method is validated through simulation results of resolving Doppler ambiguity in multiple target situations for grouping staggered multiple PRF radar system.
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Received: 20 January 2011
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Corresponding Authors:
Sun Jin-ping
E-mail: sunjinping@buaa.edu.cn
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2011, Vol. 33 
