Semidefinite programming

Statistics

Radar imaging

Algorithm

Physics

Mathematical optimization

Channel (broadcasting)

Engineering

Geodesy

Radar engineering details

Aerospace engineering

Artificial intelligence

Gaussian

Benchmark (surveying)

Space-time adaptive processing

Range (aeronautics)

Geography

MIMO

Radar tracker

Subspace topology

Mathematics

Computer science

Radar

Quantum mechanics

Telecommunications

Likelihood-ratio test

Detector

IEEE Transactions on Aerospace and Electronic Systems

This article deals with the problem of adaptive target detection in the presence of homogeneous Gaussian interference with frequency diverse array multiple-input multiple-output radar. Adaptive detectors are devised according to the generalized likelihood ratio test criterion, where the position of the target within each range cell is assumed unknown. To obtain the maximum likelihood estimate of the target incremental range under the H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> hypothesis, three different optimization strategies are pursued. They are, respectively, based on semidefinite programming, discrete grid search, and Newton method. At the analysis stage, a detection performance comparison is carried on among the new proposed adaptive detectors, benchmark, and mismatched receivers. Numerical results corroborate the effectiveness of the developed receivers.

GLRT-Based Adaptive Target Detection in FDA-MIMO Radar