Abstract: Passive location technology has become the core technology of modern information warfare, this paper proposes a new joint location method of time difference of arrival (TDOA) and frequency difference of arrival(FDOA) to solve the nonlinear optimization problems. Inspired by the intelligent algorithm, a new particle swarm optimization algorithm based on linear decreasing weight and natural selection (WSPSO) is obtained. The WSPSO algorithm and weighted least squares (WLS) algorithm are combined to realize the precise location of radiation source. The WLS algorithm needs more than four base stations to complete the accurate estimation of target location, otherwise there will be multiple solutions. In the case of four base stations, the multi station cooperative localization algorithm proposed in this paper can approximate the global optimal solution without the estimation of initial position and local convergence problem. Simulation results demonstrate that the proposed method has higher locating precision and stable performance compared to standard particle swarm algorithm and PSO algorithm with the increase of measurement noise.

Key words: passive location, time difference of arrival, frequency difference of arrival, particle swarm, weighted least squares