[1] Zhang Gong, Zhu Zhaoda, Zhu Ningyi,. Application of genetic algorithm with approximation crossoverstrategy to ambiguity resolution in PD radar [J]. Journal of Southeast University (English Edition), 2003, 19 (2): 121-125. [doi:10.3969/j.issn.1003-7985.2003.02.005]
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Application of genetic algorithm with approximation crossoverstrategy to ambiguity resolution in PD radar(
)
逼近交叉策略的遗传算法 在PD雷达解模糊中的应用
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 19
- Issue:
- 2003 2
- Page:
- 121-125
- Research Field:
- Electromagnetic Field and Microwave Technology
- Publishing date:
- 2003-06-30
Info
- Title:
- Application of genetic algorithm with approximation crossoverstrategy to ambiguity resolution in PD radar
- 逼近交叉策略的遗传算法 在PD雷达解模糊中的应用
- Author(s):
- Zhang Gong, Zhu Zhaoda, Zhu Ningyi
- College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
- Keywords:
- genetic algorithm; crossover operator; PD radar; ambiguity resolution; sliding window; clustering
- PACS:
- TN958
- DOI:
- 10.3969/j.issn.1003-7985.2003.02.005
- Abstract:
- The genetic algorithm(GA)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.
- 遗传算法作为一种通用的寻优方法, 本文将其用于PD(pulse Doppler)雷达的解模糊处理.基于多重PRF(pulse repeat frequency, 脉冲重复频率)之间所有可能距离的均方误差, 设计了适应度函数;讨论了基于逼近交叉策略的遗传算法在PD雷达解模糊中的应用, 并通过仿真分析了解模糊正确率、测量误差、计算效率等之间的关系.仿真结果证明该方法的解模糊正确率与滑窗相关器算法比较有了较大的提高.
References:
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[3] Trunk G, Brockett S. Range and velocity ambiguity resolution [A]. In: 1993 IEEE National Radar Conference[C]. 1993.146-149.
[4] Zhang Gong, Zhu Zhaoda, Lü Bo. Algorithm for ambiguity resolution in range and velocity [J]. Transactions of Nanjing University of Aeronautics & Astronautics, 2001, 18(2):219-223.
[5] Anderson K S, Hsu YuHung. Genetic crossover strategy using an approximation concept [A]. In: Proc of 1999 Congress on Evolutionary Computation [C]. 1999. 527-533.
[6] Schaffer J, Eshelman L. On crossover as an evolutionary viable strategy [A]. In: Fourth International Conference on Genetic Algorithm [C]. 1991. 61-68.
[7] Pham D T, Jin G. Genetic algorithm using gradient-link reproduction operator [J]. Electronics Letters, 1995, 31(18): 1558-1559.
[8] Liu W B, Chen X P, Shi Y. A fast optimization genetic crossover strategy [J]. Transactions of Nanjing University, 2000, 36(Special on Computer): 20-24.(in Chinese)
Memo
- Memo:
- Biographies: Zhang Gong(1964—), male, doctor, associate professor, harry-zhang@sohu.com; Zhu Zhaoda(1939—), male, professor, zzdee@nuaa.edu.cn.