Multilateration Station Location Study Based on Genetic Algorithm

Multilateration requires to achieve maximum coverage area at the condition of meeting positioning precision. The station location is directly related to positioning accuracy and coverage area. This paper applies GA(genetic algorithm) to multilateration station location, and quantifies coverage area into the fitness function. This method effectively increases coverage area under the condition of meeting the positioning accuracy, compared with the results of the traditional ones. Simulation results show the effectiveness of GA.