Adaptive Radar Detection of Distributed Targets in Homogeneous and Partially Homogeneous Noise Plus Subspace Interference
- 19 March 2007
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 55 (4), 1223-1237
- https://doi.org/10.1109/tsp.2006.888065
Abstract
This paper addresses adaptive radar detection of distributed targets in noise plus interference assumed to belong to a known or unknown subspace of the observables. At the design stage we resort to either the GLRT or the so-called two-step GLRT-based design procedure and assume that a set of noise-only data is available (the so-called secondary data). Detection algorithms have been derived modeling noise vectors, corresponding to different range cells, as independent, zero-mean, complex normal ones, sharing either the same covariance matrix (homogeneous environment) or the same covariance matrix up to possibly different (mean) power levels between primary data, i.e., range cells under test, and secondary ones (partially homogeneous environment). The performance assessment has been conducted by Monte Carlo simulation, also in comparison to previously proposed detection algorithms, and confirms the effectiveness of the newly proposed onesKeywords
This publication has 8 references indexed in Scilit:
- A CFAR adaptive subspace detector for second-order Gaussian signalsIEEE Transactions on Signal Processing, 2005
- Vector subspace detection in compound-Gaussian clutter. Part I: survey and new resultsIEEE Transactions on Aerospace and Electronic Systems, 2002
- Vector subspace detection in compound-Gaussian clutter. Part II: performance analysisIEEE Transactions on Aerospace and Electronic Systems, 2002
- CFAR detection of distributed targets in non-Gaussian disturbanceIEEE Transactions on Aerospace and Electronic Systems, 2002
- GLRT-based adaptive detection algorithms for range-spread targetsIEEE Transactions on Signal Processing, 2001
- Adaptive subspace detectorsIEEE Transactions on Signal Processing, 2001
- Matched subspace detectorsIEEE Transactions on Signal Processing, 1994
- Matrix AnalysisPublished by Cambridge University Press (CUP) ,1985