TDOA Passive Location Based on Cuckoo Search Algorithm

This paper formulates a new framework to estimate the target position by adopting cuckoo search (CS) positioning algorithm. Addressing the nonlinear optimization problem is a crucial spot in the location system of time difference of arrival (TDOA). With the application of the Levy flight mechanism, the preferential selection mechanism and the elimination mechanism, the proposed approach prevents positioning results from falling into local optimum. These intelligent mechanisms are useful to ensure the population diversity and improve the convergence speed. Simulation results demonstrate that the cuckoo localization algorithm has higher locating precision and better performance than the conventional methods. Compared with particle swarm optimization (PSO) algorithm and Newton iteration algorithm, the proposed method can obtain the Cram´er-Rao lower bound (CRLB) and quickly achieve the global optimal solutions.