Wideband Active Signal Detection Based On Continuous Wavelet Transform

The theoretics and technique of wideband active signal detection is researched in this dissertation. Wideband Correlation Processing (WCP) is the base of wideband active signal detection. Cause of the coherence between Continuous Wavelet Transform (CWT) and WCP, CWT forms mathematic foundation of WCP and presents mathematic support to WCP. Wideband Ambiguity Function (WAF) is the powerful tool to analyze the wideband signal, and it is also coherent to CWT. All in a word, the CWT is the mathematic tool of wideband active signal detection, and can underpin wideband active signal detection in theoretics and technique. In this dissertation, some contribution had done as listed:1. The basic theory of wideband signal processing is discussed and presented. The coherence among CWT, WCP and WAF is pointed out emphatically.2. The computation structure of CWT is studied. Fast algorithms based on FFT and Mellin Transform are proposed, which can realize the fast WCP.3. Two kinds of typical wideband signal, Frequency Modulation (FM) signal and Frequency Spread signal, is analyzed qualitatively with Wideband Ambiguity Function. Then author obtain Doppler tolerant signal, Doppler sensitive signal and time-scale combine resolution signal. Thses signals can be used in detection, estimation and other applications.4. The wideband active signal detector is presented and simulation is given. The result proves this detector is efficient, and that non-rectangle enveloped HFM signal is the optimal detection signal.