CAJ | 학술논문

为了改善矢量水听器方位估计的性能,研究了基于 ESPRIT 算法的矢量阵方位估计问题,分析了其基本原理,推导了该算法方位估计方差的理论公式,得出了矢量阵 ESPRIT 方法估计方差较大,且估计性能受实际目标方位影响严重.针对该方法的不足,提出了对独立估计出的目标方位进行最佳线性融合的处理方法,该融合算法的估计方差不大于任何一个独立估计的方差.仿真结果表明,最佳线性融合算法提高了矢量水听器阵的方位估计精度,降低了估计性能随目标方位变化波动的程度.
위료개선시량수은기방위고계적성능,연구료기우 ESPRIT 산법적시량진방위고계문제,분석료기기본원리,추도료해산법방위고계방차적이론공식,득출료시량진 ESPRIT 방법고계방차교대,차고계성능수실제목표방위영향엄중.침대해방법적불족,제출료대독립고계출적목표방위진행최가선성융합적처리방법,해융합산법적고계방차불대우임하일개독립고계적방차.방진결과표명,최가선성융합산법제고료시량수은기진적방위고계정도,강저료고계성능수목표방위변화파동적정도.
To improve the direction of arrival (DOA) estimation performance of a vector hydrophone array, the estima-tion of signal parameters via rotational invariance technique (ESPRIT) of a vector hydrophone array is studied. Based on analysis of vector array ESPRIT, theoretical estimation covariance formulas of vector array ESPRIT method are deduced, which bring about large estimation covariance at certain target bearing. Consequently, an algorithm of optimum linear data fusion for independent DOA estimation is proposed. Simulation results show that the proposed fusion method im-proves the accuracy of DOA estimation via vector hydrophone array with smaller fluctuation of the estimation covari-ance following target bearing.