Abstract:

Fast spectrum sensing is the cornerstone of tactical wireless communication systems to adapt to the changing electromagnetic environments and improves its antijamming ability. The dynamic sparse characteristics of many communication signals and jamming signals, such as the frequencyhopping signal and chirp jamming signal, are analyzed, and the uniform framework of the detection of dynamic sparse signals is established. Based on that, a novel algorithm for fast detection of dynamic sparse signals based on compressive sampling without signal recovery is improved, and its detection performance is analyzed. There are two virtues of the new algorithm. Firstly, the sparse feature is employed to diminish the sampling speed and to reduce the data amount for the following detection, analysis, and identification. Secondly, and the construction of the original signal is avoided, the computer complexity of which is very high.

Key words: dynamic sparse signal;detection;compressive sampling;nonconstruction