Strong Interference Environment Narrowband Signal Detection Filter Optimization Algorithm

A new narrowband signal detection algorithm is put forward. The strong interference environment problems are solved by examining filtering algorithm, and strong interference environment signal model is set up. Fast Fourier transform of signal sequence and the frequency domain processing are finished. After the signal received the frequency domain processing, it experenced the fast Fourier transform, and the strongest signal amplitude was obtained. After filtering of the original signal, narrow-band signal was realized under strong interference environment detection filter. Simulation experimental results show that the proposed method is adopted to improve the narrowband signal detection of signals are of good quality and high efficiency.