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Mutual Information-Based Waveform Design for MIMO Radar Space-Time Adaptive Processing
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DOI：10.1109/TGRS.2020.3008320.png)
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Abstract
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This article considers the waveform design problem for airborne multiple-input-multiple-output (MIMO) radar systems with space-time adaptive processing (STAP). We choose the mutual information between the received signal and the target impulse response as the design metric to achieve enhanced detection performance under the influences from neighboring range cells. In order to solve the resulting optimization problem, we first decompose the objective function into two parts and consider their optimization individually. We optimize the first part by relaxing it using an upper bound and optimize the second part using a simple optimization procedure based on the majorizationminimization (MM) algorithm. The alternation direction method of multipliers (ADMM) framework is then adopted to derive the overall solution, where the MM algorithm is employed again to handle the fourth-order term of the waveform vector. Numerical results are provided to show that the proposed algorithm has better detection performance than that of the existing methods.
Keywords:
Clutter
MIMO radar
Mutual information
Covariance matrices
Optimization
MIMO communication
Radar antennas
Clutter
multiple-input-multiple-output (MIMO) radar
mutual information
space-time adaptive processing (STAP)
waveform design
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