Passive Detection with a Multi-Rank Beamformer of a Random Signal Common to Two Sensors

Year: 2024

Type: conference-paper

Abstract: Motivated by passive source localization, we derive a generalized likelihood ratio for detecting a Gaussian signal common to two passive sensor arrays, measured in white Gaussian noises of unknown variances. The resulting detector is compared with a related detector that makes no such Gaussian signal assumption. These two detectors are called, respectively, second-order and first-order detectors. In the case where each passive sensor employs a known beamformer, performance is nearly identical. But for more general channel or beamformer models where the received signal is assumed only to lie in a low-dimensional subspace, the second-order detector can outperform the first-order detector.

Source: 2018 52nd Asilomar Conference on Signals, Systems, and Computers

DOI: 10.1109/ieeeconf60004.2024.10942635

Authors: David Ramírez, Ignacio Santamaria, Louis L. Scharf

Institutions: Universidad Carlos III de Madrid, Universidad de Cantabria, Colorado State University

Language: English

Topic: Direction-of-Arrival Estimation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, Instituto de Investigación Sanitaria Gregorio Marañón, Agencia Estatal de Investigación, Office of Naval Research, Air Force Office of Scientific Research

OpenAlex ID: W4409156462