Abstract-Target localization is one challenge in passive coherent location (PCL) radar system, and the time delay is the most important parameter in the location. The difficulty of time delay estimate (TDE) in PCL system is that the target signal is completely buried in direct path signal, multipath and clutter (DMC). The conventional clutter cancellation algorithms in matched filter (MF) are time consuming. In this paper, we propose a time delay estimate method based on blind source extraction (BSE) which directly extract the target signal from the mixed signals, thus a new passive coherent location system is built. In this model, the reference antenna is not needed any more. For low signal to interference plus noise ratio (SINR) and frequency overlapped signals in passive coherent location, we introduce the cyclostationarity to enhance the target signal. The experiments on FM broadcast signals show that the computational burden of the proposed algorithm is extremely small and the improved SNR satisfies the location requirements of PCL system.

Based on the data and assumptions of Modeling Problem B in the 12th National Mathematical Contest, and through building the models, this paper studies the node allocation in the traffic patrol service platform jurisdiction, the full and fast blockade of the platform scheduling, a reasonable increase of the service platform in the blind area , the evaluation of the service platform, and the best design of the police lockdown plan. Furthermore, combined with the analysis of the police time, the balanced degree and effective coverage, the model is optimized.