PROJECT TITLE :

Generation and Characteristics Analysis of Cognitive-Based High-Performance Wide-Gap FH Sequences

ABSTRACT:

During this paper, we tend to investigate the problem of a large-gap frequency hopping sequence (WGFHS) in a cognitive frequency hopping (CFH) system. The CFH system will achieve a lot of reliable communication during a complicated electromagnetic environment than does a standard frequency hopping (FH) system. Moreover, an appropriate WGFHS could minimize the impact of jamming on the CFH system. But, standard WGFHS adopted in the CFH system performs poorly in statistical properties and FH synchronization. So, we propose an algorithm known as the classified pseudorandom perturbation (CPRP) which will generate a random and uniform WGFHS with its uniform distribution keeping invariable during wide-gap mapping. Additionally, it will achieve a high FH synchronization chance as a result of all of the desired parameters can be obtained from the known real-time standing and sensing results. The simulation results indicate that the WGFHS generated by the CPRP outperforms the present WGFHSs, like the Reed–Solomon (RS) code with twin subbands (DSBs) and also the chaotic sequences with shifting replacement.


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