Title :
Resolution of overlapping echoes and constrained matched filter
Author :
Huaijin Gu ; Gao, Ran
Author_Institution :
Dept. of Math. & Stat., Louisiana Tech. Univ., Ruston, LA
fDate :
7/1/1997 12:00:00 AM
Abstract :
An algorithm for the resolution of overlapping echoes is proposed based on the constrained matched filters (CMF) that maximize the signal to noise ratio (SNR) for a desired signal-and cancel out other unwanted signals. The CMP is equivalent to the maximum likelihood detection and asymptotically identical to the optimum detector of signal from interference. The resolution capability of the algorithm breaks the classical resolution limit in the time domain
Keywords :
echo suppression; filtering theory; matched filters; maximum likelihood detection; signal resolution; SNR; constrained matched filter; interference; maximum likelihood detection; optimum detector; overlapping echoes resolution; signal to noise ratio; time domain; unwanted signal cancellation; Interference constraints; Matched filters; Maximum likelihood detection; Maximum likelihood estimation; Nonlinear filters; Radar signal processing; Signal detection; Signal processing algorithms; Signal resolution; Signal to noise ratio;
Journal_Title :
Signal Processing, IEEE Transactions on
