Adaptive cancellation for multiple range false radar targets

The adaptation of deception electronic attack (EA) for radars has been facilitated by the availability of digital radio frequency memories. This paper proposed a method to employ stretch processing to reject range false targets (RFT) produced by a hostile EA system that present low detection probabilities of the true targets due to high jammer-to-signal ratios (JSR) and the repeated multiple RFTs. Exploiting the least mean square (LMS) adaptation algorithm to estimate the jamming signals in contaminated compound echoes, we develop a nulling filter to resolve the desired targets from jammers. The jammer estimations are then used to cancel the RFTs from the received signal that minimizes the JSR of the jammer contributions to radars. Simulations are given to demonstrate that the approach provides satisfactory improvement in performance.