An Improved Wireless Location Algorithm Based on Chaos Optimization Algorithm

Chaos optimization algorithm (COA) can get the global optimization as ergodicity merit in chaos orbit. We improve the chaos optimization algorithm (ICOA) for wireless location, which is designed to get the initial value for the Taylor location algorithm. Considering the convergence problem in Taylor algorithm and the statistical property of chaotic sequence of Logistic mapping and Kent mapping, an improved hybrid Kent-Logistic mapping model is developed and applied for location. As MS is very close to the serving BS, the MS location can be realized directly by Kent-Logistic model. The performance of the algorithm shows better accuracy than the conventional approaches based on TDOA.