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The direct path signal, strong multi-path and strong moving target echoes can mask the weak target in passive coherent location (PCL) radar systems. The classical normalized least-mean squares (NLMS) algorithm is widely used in cancelling the direct path and multi-path interferences in PCL radar systems, which cannot suppress the stationary ground clutter and the strong moving target echoes simultaneously...
The passive coherent location (PCL) radar detects potential targets by computing the cross ambiguity function (CAF) between the target echo signal and the direct path wave, which is regarded as the reference signal received from the reference channel. However, a number of the multipath interferences present in the reference signal in most cases. The existence of the multipath interferences can increase...
A noncausal least-mean-squares (LMS) adaptive canceller for interference canceling of passive coherent location (PCL) radar is presented in this letter. The canceller is similar to a filter or estimator to minimize the difference between the echo and weighted reference signals. Considering the phenomenon of fractional delay (FD), which is inevitable in practical application, a noncausal LMS (NCLMS)...
Normalized Least-Mean Squares (NLMS) algorithm is widely used in cancelling the direct path and multi-path interferences in the passive coherent location (PCL) radar systems. The value of the step size in the NLMS algorithm impacts on the output of the canceller, which leads to different performance of the target detection. This paper analyses the impacts of different step size on low velocity target...
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