平行因子在被动相干定位系统中的应用

Application of Parallel Factor to Passive Coherent Location

针对被动相干定位系统中匹配滤波计算量比较大的问题,该文提出基于平行因子的定位方法直接估计时延和多普勒频偏;为了改善频域盲源分离在大时延背景下时延估计精度不高的问题,建立新的张量接收器,并用联合对角化联合同时估计波束、时延和多普勒频偏。仿真表明,该文方法能获得比较高的估计精度。

For the huge computational burden of the matched filter utilized in Passive Coherent Location （PCL） system, this paper proposes a PARAllel FACtor （PARAFAC）-based locating method which estimates directly time delay and Doppler offset. To improve the poor estimation accuracy of frequency blind source separation in large delay spread, a new tensor receiver is built to process simultaneously beamforming, time delay and Doppler offset by exploiting the simultaneous diagonalization. The experiments show that the proposed method can gain high estimation accuracy.