自适应空域矩阵滤波在匹配场定位中的应用

匹配场定位问题中,为了不影响观测结果,需要抑制观测区域存在的干扰。广义空域滤波在抑制拖曳舰船噪声及类似已知干扰的问题上起到了很好的效果,但对于强干扰或未知干扰声源信息的情况,需要寻找一种新的方法。波束形成目标方位估计问题中的自适应空域矩阵滤波器设计方法可以用来解决这一问题。对自适应空域矩阵滤波器增加稳健性约束处理后,针对匹配定位问题做了大量仿真实验,比较了广义空域矩阵滤波器和自适应空域矩阵滤波器对干扰的抑制效果。实验结果表明,如果选取正确的通带范围,自适应空域矩阵滤波在匹配场定位应用中可以非常有效地抑制未知强干扰。

Application of adaptive spatial matrix filter to matched field source localization

Suppressing interference noise is so necessary in matched field source localization problem in order not to affect the observational results.The generalized spatial filter does well on suppressing the noise from a tow-ship or other noise sources whose characters are known as a priori.However,a new method is needed to find out when the interference noise is unknown or its power is strong enough.Adaptive spatial matrix filter being used in estimating the target＇s position by beamforming could also dealing with the problem in matched field processing.In this paper,a robust processing is added to multiple constraints,then a large amount of Computer simulations for the matched field source localization problem are shown,after that suppressing effects about generalized spatial filter and adaptive spatial matrix filter are compared.The experimental results prove that if the pass band is correctly chosen,the adaptive spatial matrix filter could favorably suppress unknown interference noise with strong power on matched field localization.