Research on CLOVER-2000 Signal Detection Technology Based on Spectrum Template and Multi-Tone Merging

In order to solve the detection problem for Clover-2000 signal when it is transmitted by a long distance in fading shortwave channel, a new CLOVER-2000 signal detection algorithm based on the combination of spectrum template and multi-tone merging is designed in this paper. The proposed algorithm overcomes the shortcomings of the traditional method such as complicated calculation and high false alarm rate. In the proposed detection algorithm, first, an initial screening of data segments is performed using a spectrum template. Second, the band-pass filtering, time alignment and multi-tone merging are constructed on the screened data segments. Third, a time-domain sliding detector is designed to calculate the threshold parameters and successfully detect the merged signal data. Simulation and experimental tests are conducted to obtain parameter combinations which are suitable for real engineering applications. These parameters demonstrate robust detection performance under multi-path fading reception conditions, which shows that the proposed algorithm has the advantages of low computational complexity, good adaptability to multi-path fading channels, and low false alarm rate for CLOVER-2000 signal detection.