Detection and Cancellation of Jamming Signal Noise Using Digital Filters for Radar Applications

This paper considers the problem of detecting and classifying a radar target signal from a jamming signal produced from a target jammer source. Jamming is intentional emission of radio frequency signals to interfere with the operation of a radar by saturating its receiver with noise or false information. In order to distill the features of radar echo-signal affected by strong jamming noise, the adaptive filters are used to remove the noise and recover the radar echo-signal. An Adaptive filter which has self adjusting characteristics and it adapts automatically to change in its input signal. Adaptive filters are used when there is spectral overlap between the signal and noise. The proposed method uses Wiener filter, Least Mean Squares(LMS) algorithm and Recursive Least Mean(RLS) algorithm in order to detect the radar echo signal affected by jamming noise and results of all the filters are compared with the Signal-to-noise ratio, range of convergence and number of iterations. The simulation results show that the RLS algorithm is effective for anti-jamming of radar signal.