Research on Compressed Sensing Technology based on Dual-Functional Radar-Communication
Abstract
functions by sharing hardware and software resources and optimizing frequency band usage. The main technical challenge lies in integrated
signal processing. Compressed sensing (CS) technology can break through the limitations of the traditional Nyquist sampling theorem, using
the sparsity of signals to achieve precise reconstruction of signals at sampling rates far below the Nyquist rate, and has a broad application
prospect in radar-communication integration, which can significantly enhance system perception and communication performance. This paper introduces the basic principles of compressed sensing in detail and discusses its applications in target detection and parameter estimation,
beamforming, and channel estimation. It also analyzes the challenges that compressed sensing technology faces in DFRC.
Keywords
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DOI: http://dx.doi.org/10.70711/frim.v3i1.5900
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