传统的传感器网络多目标定位方法面临的关键问题是目标与回波数据之间的匹配关联，而关联过程会带来计算量大以及如何准确提取目标的问题。基于成像策略的双站距离空间投影(Bistatic Range Space Projection, BRSP)定位算法可以有效地解决回波关联问题。然而，此算法存在运算量较大以及定位精度较低的问题。该文提出一种快速高精度双站距离空间投影(Fast and High Precision Bistatic Range Space Projection)定位算法。该算法采用分层处理，先进行低分辨率投影定位，获取目标可能区域，再以更高分辨率在目标可能区域进行投影定位，以减少运算量。然后将定位结果作为初值，构建方程组，利用泰勒级数展开算法进一步提高定位精度。仿真验证了该文所提方法的有效性，与BRSP定位算法相比，该文算法在提高定位精度的同时，相同硬件条件下定位速度可以提高数十倍，有利于实现实时定位。%The association between multiple targets and echo data is the main problem for multi-target location method, which causes huge calculation and the problem of extracting the targets accurately. The location method based on Bistatic Range Space Projection (BRSP) can be used for the sake of overcoming the data association problem. While there are two problems existing on the location method of BRSP, the huge calculation and the low resolution. In the face of vast calculation in projection imaging localization, this paper utilizes hierarchical strategy to decrease calculation. The possible targets areas are located with low resolution at first. After that, more precision probable areas are pinpointed via higher resolution from these possible areas. In this way, the calculation of areas without targets can be avoided. Furthermore, results of hierarchical processing are used to be the initial position guess for Taylor-series estimation. Positioning errors could be modified by the iterative correction of Taylor-series estimation. Simulation results indicate a significant improvement in the running time and positioning precision of the proposed method.
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