Low False Alarm and Narrow-Wide Band Compatible Signal Detection Algorithm Combining the Multiscale Wavelet Transform Extremum Detection With the Spectrum Energy Detection

Abstract

A low false alarm and narrow-wide band compatible signal detection algorithm is proposed by combining the multiscale wavelet transform extremum detection with the spectrum energy detection. The signals with different bandwidths are detected at respective wavelet scales. Signal detection at a single scale adopts the detection strategy of combining the wavelet transform extremum detection with the spectrum energy detection to decrease the probability of detecting spurious signals caused by noises, and the noise floor estimation and spectrum modification are completed by morphological filtering to solve the problem of the noise floor fluctuation. Finally, the detection results at multiple scales are fused and eliminated selectively. The simulation results show that the proposed algorithm is able to achieve excellent narrow-wide band compatible detection performance while realizing a relatively low probability of detecting spurious signals.

Keywords

• Signal detection
• multiscale wavelet transform
• spectrum energy detection
• morphological filtering