Name
Abstract | ||
|---|---|---|
In this paper we establish a general framework for deriving two-channel detectors for passively detecting sources of acoustic or electromagnetic radiation. The framework is based on a first-order model for multivariate normal measurements at two spatially separated arrays, each consisting of L sensors that record M snapshots. The question to be answered is whether or not these measurements contain a signal common to both sensor arrays, indicating the existence of a radiating source. Generalized likelihood ratios (GLRs) aim to maximize the output signal-to-noise ratio (SNR) of a two-channel receiver. Quite generally, the GLRs are maximum eigenvalues of variance-normalized covariance matrices constructed from spacetime measurements at the two arrays. So, while the underlying measurement model is a first-order model, the resulting GLR statistics are decidedly nonlinear functions of the measurements. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/IEEECONF44664.2019.9048650 | 2019 53rd Asilomar Conference on Signals, Systems, and Computers |
Keywords | DocType | ISSN |
nonlinear functions,maximum eigenvalues,GLR,acoustic sources,electromagnetic radiation sources,general first-order framework,variance-normalized covariance matrices,generalized likelihood ratios,radiating source,multivariate normal measurements,acoustic radiation,two-channel detectors,sensor arrays,passive detection | Conference | 1058-6393 |
ISBN | Citations | PageRank |
978-1-7281-4301-9 | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Louis L. Scharf | 1 | 2525 | 414.45 |
| L. Todd McWhorter | 2 | 0 | 0.34 |
| James Given | 3 | 0 | 0.34 |
| Margaret Cheney | 4 | 208 | 72.60 |