CAJ | 학술논문

为了提高匹配场被动定位的稳健性，提出了一种基于白噪声增益约束的前后向平均匹配场处理器。算法不仅使用了白噪声增益约束了权向量，而且针对垂直线列阵在空间上均匀分布的特点，在估计协方差矩阵时使用了前后向平均算法，因此提高了目标检测和定位的性能。同时由于前后向平均算法在估计协方差矩阵时能够把复数运算转化为实数运算，大量减小了运算量。为了验证算法的性能，使用仿真数据和海试数据进行了处理分析。结果表明，和前向平均匹配场处理器相比，该算法的输出信干比提高了约1?5～5 dB，峰值背景比提高了约1～4 dB。
위료제고필배장피동정위적은건성，제출료일충기우백조성증익약속적전후향평균필배장처리기。산법불부사용료백조성증익약속료권향량，이차침대수직선렬진재공간상균균분포적특점，재고계협방차구진시사용료전후향평균산법，인차제고료목표검측화정위적성능。동시유우전후향평균산법재고계협방차구진시능구파복수운산전화위실수운산，대량감소료운산량。위료험증산법적성능，사용방진수거화해시수거진행료처리분석。결과표명，화전향평균필배장처리기상비，해산법적수출신간비제고료약1?5～5 dB，봉치배경비제고료약1～4 dB。
In order to enhance the robustness of the passive location of the matched field processor, we propose a matched field processor that uses the forward/backward ( FB) averaging algorithm and the white noise gains con-straint. The processor not only restrains the weight vector of the matched field with white noise gains but also esti-mates the sample covariance matrix with the FB averaging algorithm that utilizes the spatially uniform distribution characteristics of the vertical linear array, thus enhancing the target detection and location of the matched field. The FB averaging algorithm can also transform complex number operation into real number operation when estimating the covariance matrix, thus greatly reducing the computational complexity and the computational volume. Finally we use the simulation data and sea test data to locate the source. The location results, given in Figs. 2 through 6, and their comparison show preliminarily that the output signal to interference ratio increases by about 1?5 to 5 dB, and that the peak to background ratio increases by about 1 to 4 dB.