Title :
Pulse Doppler radar based on adaptive genetic algorithm
Author :
Huabing, Xia ; Quanxia, Ma ; Wei, Pan
Author_Institution :
Electr. Detection Dept., Shenyang Artillery Acad., Shenyang, China
Abstract :
The adaptive genetic algorithm (AGA) designed as a general optimization method was applied to the ambiguity resolution of pulse Doppler (PD) radar. The fitness, based on squared error for multi-PRF (pulse repeat frequency) consecutive ordered ranges, was designed. The crossover operator and the conditions of ending in GA were discussed. The relations among the probability of ambiguity resolution of this algorithm, the measurement error and the computational efficiency were analyzed. Simulation results show the GA ambiguity resolution algorithm does better than the sliding window algorithm on the probability of ambiguity resolution.
Keywords :
Doppler radar; computational complexity; genetic algorithms; probability; AGA; GA ambiguity resolution algorithm; PD radar; adaptive genetic algorithm; computational efficiency; crossover operator; general optimization method; measurement error; multiPRF consecutive ordered ranges; probability; pulse Doppler radar; pulse repeat frequency consecutive ordered ranges; sliding window algorithm; squared error; Algorithm design and analysis; Clustering algorithms; Correlators; Genetic algorithms; Genetics; Measurement uncertainty; Radar; PD radar; adaptive genetic algorithm; ambiguity resolution; clustering; sliding window;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968140
