A Spread Spectrum Parameter Optimization Analysis for Differential Chaotic Shift Keying
Conference: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
12/17/2021 - 12/19/2021 at Shenyang, China
Proceedings: ICMLCA 2021
Pages: 5Language: englishTyp: PDF
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Authors:
Shi, Bojia; Zhang, Tong (Information Science & Engineering, Shenyang Ligong University, Shenyang, China)
Sui, Tao; Jiang, Qiang (Automation & Electrical Engineering, Shenyang Ligong University, Shenyang, China)
Abstract:
The typical chaotic map Tent map is analyzed, including good self-(mutual) correlation characteristics, internal randomness, initial value sensitivity and mean value. It is applied to FM-DCSK and ODBR-FM-DCSK systems, respectively. By changing the size of the semi-spread spectrum factor, the relationship between the semi-spread spectrum factor and the error rate is explored. All the contents of the study are simulated based on MATLAB. The simulation results show that with the increase of half spread spectrum factor, the bit error rate becomes better first and then worse. Under the same conditions, the bit error rate performance of FM-DCSK system is better by comparing the two systems.