Title :
Performance analysis of the SVD-based detection criteria for the case of two coherent signals
Author :
Shahmirian, V. ; Kesler, S.B.
Author_Institution :
Dept. of Phys./Electr. Eng., Scranton Univ., PA, USA
Abstract :
A novel set of signal detection criteria that are based on the singular values of the forward-backward data matrix is presented. These criteria are Akaike´s information-theoretic criterion and the minimum description length criterion. After formulating the problem, the two detection criteria are presented, and then their performance is analyzed. Finally, simulation results that demonstrate the performance of these criteria are presented. The performance of these criteria in the presence of coherent multipath signals is analyzed. It is shown that the probability of detection is a function of the signal-to-noise ratio, the angle separation, the number of snapshots, and the intersignal correlation, specifically the constant phase angle between the direct path and its specular multipath component. Simulation results are also presented
Keywords :
matrix algebra; signal detection; Akaike; SVD-based detection criteria; angle separation; coherent multipath signals; coherent signals; constant phase angle; direct path; forward-backward data matrix; information-theoretic criterion; intersignal correlation; probability of detection; signal-to-noise ratio; simulation results; singular values; snapshots; specular multipath component; Additive noise; Computer aided software engineering; Matrix decomposition; Performance analysis; Petroleum; Phase detection; Signal analysis; Signal detection; Signal resolution; Testing;
Conference_Titel :
Spectrum Estimation and Modeling, 1988., Fourth Annual ASSP Workshop on
Conference_Location :
Minneapolis, MN
DOI :
10.1109/SPECT.1988.206179
