Interference (communication)

Quantum mechanics

Algorithm

Control (management)

Engineering

Computational complexity theory

MIMO

Materials science

Signal-to-interference-plus-noise ratio

Signal-to-noise ratio (imaging)

Convergence (economics)

Waveform

Telecommunications

Economics

Power (physics)

Computer science

Mathematical optimization

Polynomial

Beamforming

Matrix (chemical analysis)

Physics

Mathematics

Electronic engineering

Mathematical analysis

Artificial intelligence

Composite material

Economic growth

Channel (broadcasting)

Control theory (sociology)

Radar

IEEE Transactions on Aerospace and Electronic Systems

This paper deals with the robust waveform design of multiple-input multiple-output radar to improve target detectability embedded in signal-dependent interferences. Two iterative algorithms with ensuring convergence properties are introduced to maximize the worst case signal-to-interference-plus-noise ratio (SINR) over steering matrix mismatches under the constant modulus and similarity constraints. Each iteration of the proposed algorithms splits the high-dimensional problem into multiple one dimensional problems, to which the optimal solutions can be found in polynomial times. Numerical examples are provided to assess the capabilities of the proposed techniques in comparison with the existing methods in terms of the SINR and the computational times for both the continuous and discrete phase cases of the probing signal.

Constrained Waveform Design for Colocated MIMO Radar With Uncertain Steering Matrices