MAL-Net: Model-Adaptive Learned Network for Slow-Time Ambiguity Function Shaping

MAL-Net: Model-Adaptive Learned Network for Slow-Time Ambiguity Function Shaping

Designing waveforms with a Constant Modulus Constraint (CMC) to achieve desirable Slow-Time Ambiguity Function (STAF) characteristics is significantly important in radar technology. The problem is NP-hard, due to its non-convex quartic objective function and CMC constraint. Existing methods typicall...

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Bibliographic Details
Main Authors: Jun Wang, Xiangqing Xiao, Jinfeng Hu, Ziwei Zhao, Kai Zhong, Chaohai Li
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
Subjects:
waveform design
slow-time ambiguity function
constant modulus
complex circle manifold
MAL-Net method
deepearning
Online Access:https://www.mdpi.com/2072-4292/17/1/173
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