Threshold Optimization Using Metaheuristics In Distributed TM-CFAR Detection For DS/SS Acquisition: Application On Double-Dwell Serial Search System.

Abstract

The objective of this work is to improve the adaptive acquisition of pseudo-random sequences (PN) in multiple-use systems by splitting codes in a direct sequence DS/CDMA using the dual sequence search methodology . Traditional fixed-threshold acquisition systems suffer from the inability to adapt to rapidly changing environments in mobile communications , resulting in high rates of false alarms or reduced probability of detection . This work aims to improve the performance of the distributed detector (TM-CFAR) by proposing, studying and comparing several various optimization algorithms, including (WOA, ICA, CMA-ES, PSOGSA), the performance of the proposed system was evaluated by measuring the detection probability and average acquisition time using the integration rule "And", the results showed that the (WOA) optimization algorithm outperforms the rest of the algorithms.