To address the high hardware complexity and insufficient analysis of algorithm performance of conventional multistatic radar localization systems

this paper investigates a secondary radar target localization method under a single-transmitter multiple-receiver configuration.First

a ranging observation model is established by combining the two-way range between the target and the transmitting station and the one-way ranges to each receiving station

and the Fisher information matrix(FIM)and Cramér-Rao lower bound(CRLB)of the system are derived.Then

based on a nonlinear least-squares objective function constructed from all ranging data

a Newton iterative localization algorithm based on Gauss-Newton approximation is designed

where suitable initialization and step-size control are employed to improve convergence.Finally

1000 Monte Carlo simulations with additive white Gaussian noise are carried out.The results show that

when the ranging noise standard deviation is 1~5m

the root mean square error(RMSE)of the algorithm localization closely approaches the CRLB

verifying that the proposed method achieves high accuracy while simplifying the hardware and thus has good engineering prospects.