Journal article
Detection of weak signals in non-Gaussian noise
IEEE transactions on information theory, v 27(6), pp 755-771
Nov 1981
Abstract
A locally optimum detector structure is derived for the detection of weak signals in non-Gaussian environments. Optimum performance is obtained by employing a zero-memory nonlinearity prior to the matched filter that would be optimum for detecting the signal were the noise Gaussian. The asymptotic detection performance of the locally optimum detector under non-Gaussian conditions is derived and compared with that for the corresponding detector optimized for operations in Gaussian noise. Numerical results for the asymptotic detection performance are shown for signal detection in noise environments of practical interest.
Metrics
Details
- Title
- Detection of weak signals in non-Gaussian noise
- Creators
- Ning Lu - ITT Technical InstituteB Eisenstein - Drexel University
- Publication Details
- IEEE transactions on information theory, v 27(6), pp 755-771
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:A1981MQ65800008
- Scopus ID
- 2-s2.0-0019635012
- Other Identifier
- 991019174003004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic
- Mathematics, Applied