Accession Number:

ADA265215

Title:

Ternary Weak-Signal Detection in Non-Gaussian Noise: A Preliminary Analysis for 'H sub 0 N vs H sub 1: N + S sub 1 vs H sub 2: N + S sub 2' with Independent Sampling

Descriptive Note:

Final rept.,

Corporate Author:

NAVAL UNDERSEA WARFARE CENTER DIV NEWPORT RI

Personal Author(s):

Report Date:

1992-03-03

Pagination or Media Count:

53.0

Abstract:

A general analysis of the Ternary Class M 2 H sub 0 N vs H sub 1 S1 N vs H sub 2 S sub 2 N of signal detection problems is is presented, for completely general signals, i.e., both broadband narrow-band, deterministic or random, in generalized i.e., non-Gaussian noise, in the limiting threshold regime. This includes optimum threshold algorithms and system performance, as measured by the appropriate error and detection probabilities. The present treatment, however, is subject to the following constraints 1 independent noise sampling 2 ambient noise models, i.e., noise independent of the signals 3 uniform cost functions, e.g., C sub o 0 for errors, and C sub 1 0 for correct decisions. Under these conditions, only three principal parameters are needed delta 12, delta 22 signal detection parameters output SN 2 and the correlation coefficient P sub 12 P between the two threshold test statistics or detection algorithms Z sub 1, Z sub 2, apart from the a priori probabilities q, p sub 1, P sub 2 of the presence of noise alone, S dub 1, and S sub 2. Next steps, to extend the treatment to the general case M 3 H sub 1 N S sub 1, vs H sub 2 S sub 2 N vs H sub 3 S sub 3 N, and to include correlated noise samples, are noted.... Ternary detection, Coherent and incoherent reception, Threshold signal detection, Generalized noise

Subject Categories:

  • Acoustic Detection and Detectors
  • Acoustics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE