[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()

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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

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.

References:

[1] Long W, Mooney D, Skillman W. Pulse Doppler radar, chapter 17, radar handbook[M]. USA: McGraw Hill, 1990. 17.19-17.25.
[2] Morris G V. Airborne pulsed Doppler radar[M]. USA: Artech House, 1988. 195-200.
[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.

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