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随着认知无线电技术的发展,频谱感知在民用无线电频谱资源接入和军用电子对抗、通信对抗、雷达对抗等系统中的地位日益重要,而基于传统奈奎斯特采样的频谱分析技术无法满足高实时、大带宽、低费效比的应用需求。压缩感知技术能充分利用频谱的稀疏特性,以远低于奈奎斯特采样率的信号采样速率恢复原始频谱信息,降低了频谱监测系统对AD器件、处理性能、存储空间及分发网络的要求,具有广泛的应用前景。
With the development of cognitive radio technology, spectrum sensing plays an increasingly important role in systems such as access to civil radio spectrum resources and military electronic warfare, communication countermeasures, radar countermeasures and other systems, and spectrum analysis techniques based on traditional Nyquist sampling can not satisfy High real-time, high bandwidth, low cost-effective applications. Compressive sensing technology can make full use of the sparse characteristics of the spectrum to recover the original spectrum information at a signal sampling rate much lower than the Nyquist sampling rate and reduce the requirements of the spectrum monitoring system for AD devices, processing performance, storage space and distribution network, Has a wide range of applications.