Title :
An adaptive-kernel design method based on ambiguity domain
Author :
Hong, Zou ; Zheng, Bao
Author_Institution :
Key Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
In bilinear time-frequency distributions (TFD), cross-terms resulting from multi-components are suppressed by choosing or designing appropriate kernels. With years of study, signal-adaptive kernels are becoming more promising for time-frequency analysis of different kinds of signals than fixed ones. An adaptive-kernel design method is proposed with respect to LFM (linear frequency-modulated) signals by use of signal ambiguity functions. The estimation of adaptive parameters is discussed, and its corresponding time-frequency distribution called adaptive exponential distribution (AED) is analyzed. Computer simulation with synthetic data shows satisfactory effect of AED in suppressing cross-terms and preserving good resolution of signal-terms
Keywords :
adaptive estimation; adaptive signal processing; exponential distribution; frequency modulation; signal resolution; signal synthesis; time-frequency analysis; AED; LFM signals; TFD; adaptive exponential distribution; adaptive parameter estimation; adaptive-kernel design method; ambiguity domain; bilinear time-frequency distributions; computer simulation; cross-terms suppression; linear frequency-modulated signals; multi-components; signal ambiguity functions; signal resolution; signal-adaptive kernels; synthetic data; time-frequency analysis; Design methodology; Frequency modulation; Kernel; Parameter estimation; Radar signal processing; Signal analysis; Signal design; Signal resolution; Smoothing methods; Time frequency analysis;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-7803-5073-1
DOI :
10.1109/TFSA.1998.721395