Volume 36, Number 2, April 2018
|Page(s)||270 - 275|
|Published online||03 July 2018|
Optimization Algorithm for DOA Estimation of a Shallow Sea Target Based on Active Time Reversal
School of Marine Science and Technology, Northwestern Polytechnic University, Xi'an 710072, China
2 School of Engineering, Xi'an International University, Xi'an 710077, China
3 China Shipbuilding Industry Corporation, Beijing, 100097, China
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.
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。
Key words: direction of arrival / estimation / optimization / algorithms / targets / models / signal to noise ratio / active time reversal (ATR) / uniform line array
关键字 : 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
© 2018 Journal of Northwestern Polytechnical University. All rights reserved.
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