摘要
为了充分利用多入多出(Multiple Input Multiple Output,MIMO)声纳的虚拟阵列孔径性能,针对目标方位估计问题,提出了一种MIMO声纳系统目标方位估计方法,该方法由发射阵列发射正交信号,接收阵列首先对接受信号进行匹配滤波,然后构造最小二乘约束下的空间拟合关系,最后采用马尔可夫蒙特卡罗完美抽样方法解决最小二乘拟合求解运算量大的问题.仿真结果表明:两目标情况下,采用该方法的MIMO声纳系统方位估计精度在中低信噪比条件下与MIMO最大似然方位估计基本相同,优于MIMO最小方差方法,而运算量比最大似然方法显著降低.
A DOA（Direction of Arrival） estimator based on MIMO sonar system is proposed to estimate the DOA of targets.Firstly,orthogonal signals are sent out by transmitting sensors and the output of receiving sensors is processed by a matched filter using transmitting signals.Then,the solution of space fitting is achieved by least square method.Finally,perfect sampling,a kind of Markov Monte Carlo methods,is combined with least square method（PLS） to lighten the computation.Simulations show that in the case of two sources, the PLS provides similar performance to that achieved by the ML method and better performance than MVM method in low and mid SNR range, but its computational cost is much reduced comparing with that of ML.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2009年第9期2041-2045,共5页
Acta Electronica Sinica
基金
国家自然科学基金(No.60572098)
国家863计划项目(No.2007AA01Z478)
西北工业大学基础研究基金(No.NPU-FFR-W018102)
