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Constrained Pulse Radar Waveform Design Based on Optimization Theory
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DOI：10.3390/s25041203.png)
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Abstract
En 中文
Radar is utilized as an active sensing device across many fields. Its waveform optimization is responsible for target signature extraction, profoundly influencing the overall performance. First, the principle of pulse radar waveform design is explored. Waveform design strategies vary based on target models, whether point-like or extended ones, and are often formulated as high-dimensional, non-convex optimization problems with multiple constraints, such as energy, constant modulus, and sidelobe ratios. Second, to address them, techniques like alternating direction method of multipliers (ADMM), semidefinite relaxation (SDR), and minimization-maximization (MM) algorithms are widely employed. Finally, challenges in multimodal sensing collaborative detection, joint multi-tasking, sparse signal recovery, and intelligent perception highlight the need for innovative solutions to meet future demands.
Keywords:
transmit waveform
constrained optimization
scattering model
criterion
optimization algorithm
Journal
IF:
3.5
Papers:
7.1W
Citations:
20.9W