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一種基于空域?yàn)V波的空間臨近相干源角度估計(jì)方法

鄭軼松,  陳伯孝,  楊明磊

鄭軼松, 陳伯孝, 楊明磊. 一種基于空域?yàn)V波的空間臨近相干源角度估計(jì)方法[J]. 電子與信息學(xué)報(bào), 2016, 38(12): 3100-3106. doi: 10.11999/JEIT160882
引用本文: 鄭軼松, 陳伯孝, 楊明磊. 一種基于空域?yàn)V波的空間臨近相干源角度估計(jì)方法[J]. 電子與信息學(xué)報(bào), 2016, 38(12): 3100-3106. doi: 10.11999/JEIT160882
ZHENG Yisong, CHEN Baixiao, YANG Minglei. Direction of Arrival Estimation Method for Spatially Adjacent Coherent Sources Based on Spatial Filtering[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3100-3106. doi: 10.11999/JEIT160882
Citation: ZHENG Yisong, CHEN Baixiao, YANG Minglei. Direction of Arrival Estimation Method for Spatially Adjacent Coherent Sources Based on Spatial Filtering[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3100-3106. doi: 10.11999/JEIT160882

一種基于空域?yàn)V波的空間臨近相干源角度估計(jì)方法

doi: 10.11999/JEIT160882
基金項(xiàng)目: 

國家自然科學(xué)基金(61571344)，上海航天科技創(chuàng)新基金(SAST2015071, SAST2015064)

Direction of Arrival Estimation Method for Spatially Adjacent Coherent Sources Based on Spatial Filtering

Funds: 

The National Natural Science Foundation of China (61571344), The Funds of SAST (SAST2015071, SAST 2015064)

  • 摘要: 相干源常見于存在多徑的場景，如何解相干歷來是陣列信號處理領(lǐng)域亟待解決的難題之一，特別針對空間臨近相干源，其角度估計(jì)精度尚有待提高。針對空間臨近相干源該文提出一種基于空域?yàn)V波的角度估計(jì)方法。首先利用空域?yàn)V波技術(shù)將多個(gè)相干源分離，再對濾波分離后的各個(gè)信號分別進(jìn)行角度估計(jì)，并通過對濾波器系數(shù)和相干源角度的迭代優(yōu)化提高測角精度。針對非均勻線陣，該方法采用虛擬陣列技術(shù)擴(kuò)展其適用范圍。計(jì)算機(jī)仿真結(jié)果表明該方法的測角精度較現(xiàn)有方法更高，信噪比較高時(shí)其測角的均方根誤差可達(dá)克拉美羅界，驗(yàn)證了該方法的有效性和在空間臨近相干源場景的優(yōu)越性。
    Abstract: Coherent sources commonly exist in scenarios with multipath effect. How to decorrelate coherent sources is traditionally a problem urgently to be solved in the array signal processing domain. Especially for spatially adjacent coherent sources, the performance of the estimation of Direction Of Arrival (DOA) remains to be improved. A DOA estimation method based on spatial filtering is proposed for spatially adjacent coherent sources. Multiple coherent sources are separated by spatial filtering and the DOAs are estimated respectively afterwards. The performance of the DOA estimation is enhanced by refining the filter parameters and the DOAs of the coherent sources iteratively. To extend its application to non-uniform linear array, the virtual array technique is adopted. The computer simulation results indicate that the proposed algorithm has better DOA estimation performance than the existing methods. In the scenario of sufficiently high Signal to Noise Ratio (SNR), the Root Mean Square Error (RMSE) could achieve Cramer-Rao Bound (CRB). The effectiveness and the superiority of the proposed method for spatially adjacent coherent sources are validated by the simulation results.
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出版歷程
  • 收稿日期:  2016-08-26
  • 修回日期:  2016-11-04
  • 刊出日期:  2016-12-19

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