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波束域加权子空间拟合 ( weighted subspace fitting—— WSF)算法保留了阵元域 WSF算法最佳的目标方位估计性能 ,而其运算量则有所降低。本文针对声呐系统中常用的线阵 ,通过计算机模拟实验和消声水池物理仿真实验研究了波束域 WSF算法解相干信源的性能。计算机模拟结果表明波束域 WSF算法可在低至 - 8d B的信噪比上分辨半常规束宽的强相关等功率信源 ,而水池实验则进一步表明算法可分辨不等功率相干信源 ,并在基阵校准系统误差后正确估计信源方位。
The WSS (weighted subspace fitting - WSF) algorithm preserves the best estimation performance of the WSF algorithm in array element domain, but its computation is reduced. In this paper, the performance of the coherent source in beamforming WSF algorithm is studied through the computer simulations and physical simulation experiments of anechoic sinks. Computer simulation results show that the beam domain WSF algorithm can resolve the semi - conventional beamwidth strong correlation and other power sources in the signal - to - noise ratio (SNR) as low as-8dB, while the pool experiment further shows that the algorithm can distinguish unequal power coherent sources Correctly estimate the source orientation after the alignment error of the array.