Abstract
Matched-field methods are known to have a severe ambiguity problem. In low signal-to-noise-ratios (SNR's), where the estimator cannot distinguish between the ambiguity function peak near the true source location and ambiguous ones, its mean square error deviates radically from the Cramer-Rao lower bound (CRLB). In this paper, the Barankin bound for the source localization problem in an uncertain shallow water environment is derived. In particular, a method of selection of the test-points for evaluation of the bound is presented. The bound is evaluated using a `general mismatch' benchmark scenario. The results presented here predict the threshold SNR below which the performance degrades dramatically. Channel uncertainties in the benchmark scenario are shown to increase this threshold SNR by as much as 3 dB.
| Original language | English |
|---|---|
| Pages (from-to) | 499-502 |
| Number of pages | 4 |
| Journal | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing |
| Volume | 1 |
| State | Published - 1 Jan 1997 |
| Externally published | Yes |
| Event | Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5) - Munich, Ger Duration: 21 Apr 1997 → 24 Apr 1997 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering