摘要
针对双基地多输入多输出雷达定位的实时性问题,提出了一种基于改进多级维纳滤波器(MSWF)的目标快速定位算法。首先利用MSWF的前向递推和期望信号自相关模值的变化判断出所需的MSWF级数,得到初始信号子空间;其次根据自相关模值的大小确定真实信号子空间,解决了低信噪比条件下噪声子空间与信号子空间的交叠问题;最后结合ESPRIT方法估计出目标的发射角和接收角,并实现多目标自动配对。由于该算法实现了真实信号子空间的判断,因而具有更高的参数估计精度。
A target rapid location method based on modified multistage wiener filtering （MSWF） is proposed for the instant problem among target location in bistatic multiple-input multiple-output （MIMO） radar. Firstly, determine the series of MSWF by using forward recursion of the MSWF and desire signal autocorrelation modulus values. The initial signal subspace is got by this method. Secondly, the true signal subspace is determined by the size of the autocorrelation modulus values, solving the problem that the noise subspace and the signal subspace is overlapped in condition of low SNR. Last, the direction of departure （DOD） and direction of arrival （DOA） can be estimated combining with the subspace kind algorithms such as ESPRIT,and the multi-target cross localization is achieved. Because this algorithm has realized the judgment of the real signal subspace ,it has higher estimation precision.
出处
《现代雷达》
CSCD
北大核心
2015年第4期24-30,共7页
Modern Radar
基金
国家自然科学基金资助项目(6067201)
