An Efficient Target Localization Method in MPR Systems with Reduced Transmitter Dependency

In multistatic passive radar systems, addressing the target localization problem based on Bistatic Range Difference, this paper introduces an innovative search algorithm that integrates the Modified Weighted Least Squares with the Artificial Jellyfish Search, termed the MWLS-AJS algorithm. This algorithm is designed to overcome the reliance on a minimum of four transmitters required by current technologies for three-dimensional localization and to enhance the real-time performance of search algorithms. By constructing an innovative pseudo-linear model and applying the iterative search mechanism of the Artificial Jellyfish Search algorithm, the MWLS-AJS algorithm is capable of rapidly and accurately estimating target positions with only three transmitters. Simulation results demonstrate that the algorithm not only maintains a high level of localization accuracy but also shows significant improvements in noise resistance and search efficiency compared to traditional search algorithms.