Advanced radar detection schemes under mismatched signal models
Adaptive detection of signals embedded in correlated Gaussian noise has been an active field of research in the last decades. This topic is important in many areas of signal processing such as, just to give some examples, radar, sonar, communications, and hyperspectral imaging. Most of the existing...
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| Other Authors: | , |
| Format: | Electronic |
| Language: | English |
| Published: |
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool Publishers,
c2009.
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| Series: | Synthesis lectures on signal processing (Online) ;
# 8. |
| Subjects: | |
| Online Access: | View fulltext via EzAccess |
Table of Contents:
- Introduction
- Adaptive radar detection of targets with perfectly known steering vector
- The radar scenario
- Discrete-time target and noise models
- The GLRT and the two-step GLRT-based design procedure with application to adaptive detection of a signal known up to a complex factor
- Adaptive detection of a signal known up to a complex factor
- Adaptive detection schemes for mismatched signals
- Mismatched signals
- Robust receivers
- Selective receivers
- Tunable receivers
- Parametric receivers
- Two-stage receivers
- Enhanced adaptive sidelobe blanking algorithms
- The subspace-based adaptive sidelobe blanker (S-ASB)
- Pfa and Pd of the S-ASB
- Performance prediction in presence of mismatched signals
- The W-ABORT and subspace-based adaptive sidelobe blanker (WAS-ASB)
- Pfa and Pd of the WAS-ASB
- Performance prediction in presence of mismatched signals
- Conclusions
- Complex normal related statistics
- Statistical characterization of Kelly's detector, AMF, ACE, and W-ABORT
- Statistical characterization of S-ASB and WAS-ASB
- Stochastic representations for tSD and β
- Statistical characterization of b and c
- Distributions under H0
- Distributions under H1 87
- Bibliography.