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ISAR imaging of multiple targets using particle swarm optimisation – adaptive joint time frequency approach

ISAR imaging of multiple targets using particle swarm optimisation – adaptive joint time frequency approach

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When multiple radar targets are close to each other, the returned signals from these targets are overlapped in time. Therefore by applying conventional motion compensation algorithms designed for single target, the multiple targets cannot be resolved, and individual one cannot be clearly imaged. The authors conclude that whether the radar transmits linear frequency modulated (LFM) or stepped-frequency waveform, the chirp rate in the Doppler frequency shift induced by the translation motion is only concerned with the acceleration of the target. For different targets, the chirp rates are different from each other. Based on the different chirp rates, the signals from each target can be separated. Then a new algorithm based on the adaptive joint time frequency (AJTF) technique is proposed to separate the signals from different target in each cross-range cell. The use of the particle swarm optimisation (PSO) for multiple targets separation is a unique application of this evolutionary search. By the CLEAN technique, the number of targets need not be appointed. The simulation results confirm the efficiency of the proposed algorithm for multiple moving targets imaging.

References

    1. 1)
      • V.C. Chen , H. Ling . (2002) Time-frequency transforms for radar imaging and signal analysis.
    2. 2)
      • V.C. Chen , Z.Z. Lu . Radar imaging of multiple moving targets. SPIE , 102 - 112
    3. 3)
      • Jun, S., Xiaoling, Z., Shuwei, H.: `Multi-target isar imaging', Int. Geoscience and Remote Sensing Symp., 2005, p. 4745–4748.
    4. 4)
      • W. Chen , M. Xing . An isar imaging algorithm for multiple targets based on keystone transformation. Morden Radar , 3 , 40 - 42
    5. 5)
      • Fan, L., Pi, Y., Huang, S.: `Multi-target imaging processing algorithms of isar based on time-frequency analysis', 2006 CIE Int. Conf. Radar, April 2006, Shanghai, p. 688–691.
    6. 6)
    7. 7)
      • Y. Wang , J. Chen , Z. Liu , A. Liu . Research on isar imaging of multiple moving targets. J. Astronaut. , 4 , 450 - 454
    8. 8)
      • Luo, X., He, Q., Lv, G., Shang, C.: `Isar imaging of multiple targets based on adaptive gaussian chirplet decomposition', 2006 CIE Int. Conf. Radar, April 2006, Shanghai, p. 1012–1015.
    9. 9)
    10. 10)
      • L. Junfei , H. Ling . Use of genetic algorithms in isar imaging of targets with higher order motions. IEEE Trans. Aerosp. Electron. Syst. , 1 , 343 - 351
    11. 11)
      • Brinkman, W., Thayaparan, T.: `Focusing isar images using the ajtf optimized with the ga and the pso algorithm-comparison and results', 2006 CIE Int. Conf. Radar, April 2006, Shanghai, p. 510–517.
    12. 12)
    13. 13)
      • Eberhart, R., Kennedy, J.: `A new optimizer using particle swarm theory', Micro Machine and Human Science, 1995. MHS'95, Proc. Sixth Int. Symp. on, October 1995, p. 39–43.
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