DocumentCode :
3039549
Title :
Rapid detection of weak signals using adaptive recursive filter weights
Author :
McMurray, Loren B.
Author_Institution :
Rockwell International, Anaheim, CA
Volume :
5
fYear :
1980
fDate :
29312
Firstpage :
993
Lastpage :
996
Abstract :
The adaptive weights of a frequency domain adaptive recursive filter in the line enhance mode are investigated for their ability to rapidly detect and identify a weak tonal in the presence of additive broadband noise. The investigation utilizes both Monte Carlo computer simulations and first order theory to obtain an approximate analytic solution. In the simulation, rapid identification meant within one minute. For the case considered, frequency was determined for SNR \\geq -32 dB and amplitude was determined for SNR \\geq -37 dB. The analytic results show the limiting factors. Some of the results apply to the LMS transversal filter.
Keywords :
Adaptive filters; Adaptive signal detection; Additive noise; Computational modeling; Computer simulation; Frequency domain analysis; Least squares approximation; Monte Carlo methods; Signal detection; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '80.
Type :
conf
DOI :
10.1109/ICASSP.1980.1170860
Filename :
1170860
Link To Document :
بازگشت