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基于主动时反的浅海目标DOA估计优化算法 被引量:4

Optimization Algorithm for DOA Estimation of a Shallow Sea Target Based on Active Time Reversal
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摘要 将时反技术应用到浅海目标DOA估计中,提出基于主动时间反转(active time reversal,ATR)的浅海目标DOA估计优化方法,可有效解决多径、低信噪比条件下的目标DOA估计问题。采用经典射线模型,结合阵列信号处理理论,建立了基于均匀线列阵的常规多径DOA估计模型和主动时反多径DOA估计模型,利用Capon算法对所建模型进行了仿真验证,并做了对比分析。仿真结果表明:在低信噪比情况下,主动时反方法可以更好地估计出目标的角度,其分辨率更高,抑制旁瓣的能力更强。 Time reversal technique is applied to the DOA estimation of a shallow sea target,and a method based on active time reversal(ATR)is proposed to achieve correct estimation under multipath and low signal-to-noise(SNR)conditions.Combining the classical ray theory with array signal processing theory,the conventional multipath DOA estimation model based on uniform line array and the ATR-based DOA estimation model are set up respectively.The Capon algorithm is employed to simulate the models and compare it with conventional one.The simulation results show that the ATR-based estimation model can better estimate the azimuth angle of the target than the conventional counterpart,provide higher resolution and better suppress side lobes with the same signal-to-noise ratio(SNR),especially the low SNR.
作者 荆海霞 王海燕 刘郑国 申晓红 张之琛 Jing Haixia;Wang Haiyan;Liu Zhengguo;Shen Xiaohong;Zhang Zhichen(School of Marine Science and Technology,Northwestern Polytechnic University,Xi′an 710072,China;School of Engineering,Xi'an International University,Xi′an 710077,China;China Shipbuilding Industry Corporation,Beijing,100097,China)
出处 《西北工业大学学报》 EI CAS CSCD 北大核心 2018年第2期270-275,共6页 Journal of Northwestern Polytechnical University
基金 国家重点研发计划资助(2016YF01400200) 国家自然科学基金(61571365 61571367 61671386) 陕西省教育厅科研项目(16JK2173)资助
关键词 DOA 估计 优化 算法 目标 模型 信噪比 主动时间反转 均匀线列阵 direction of arrival estimation optimization algorithms targets models signal to noise ratio active time reversal(ATR) uniform line array
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