基于声能流矢量补偿的水下目标高精度DOA估计

针对各向异性噪声对水下目标方位估计精度产生严重干扰的问题,文中提出了一种基于声能流矢量补偿的水下目标高精度DOA估计方法。该方法基于声压和质点振速联合信息处理技术,在有效降低各向同性噪声影响的同时得到各向异性噪声源分布模型,并根据各向异性噪声场声能流模型对各向异性噪声进行矢量补偿,进一步实现了对各向异性噪声的抑制,达到高精度估计的目的。通过数值仿真对该方法的性能进行了验证。仿真结果表明,在20 dB以下,文中方法精度均高于常规复声强器DOA估计,精度最高提高了21%。

High-precision DOA Estimation of Underwater Targets Based on Acoustic Energy Flux Vector Counteraction

Aiming at the problem that the anisotropic noise seriously interferes with the accuracy of underwater target DOA estimation, this paper proposed a high-precision DOA estimation method for underwater targets based on acoustic energy flux vector compensation. The method was based on the joint information processing technology of sound pressure and particle velocity, and the anisotropic noise source distribution model was obtained while effectively reducing the influence of isotropic noise. The anisotropic noise was vector compensated according to the anisotropic noise field acoustic energy flow model, which further suppressed the anisotropic noise and achieved the purpose of high-precision estimation. The numerical simulation results showed that below 20 dB the accuracy of the method was higher than that of DOA estimate of conventional complex intensity processor with the highest precision increased by 21%.