Coherent Integration Algorithm Based on Adjacent Cross Correlation Function-Parameterized Centroid Frequency-Chirp Rate Distribution -Keystone Transform for Maneuvering Target in Passive Radar

Yongsheng ZHAO; Dexiu HU; Zhixin LIU; Yongjun ZHAO; Chuang ZHAO

doi:10.11999/JEIT180858

Volume 41 Issue 10

Oct. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(10): 2358-2365

Yongsheng ZHAO, Dexiu HU, Zhixin LIU, Yongjun ZHAO, Chuang ZHAO. Coherent Integration Algorithm Based on Adjacent Cross Correlation Function-Parameterized Centroid Frequency-Chirp Rate Distribution -Keystone Transform for Maneuvering Target in Passive Radar[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2358-2365. doi: 10.11999/JEIT180858

Citation:

Yongsheng ZHAO, Dexiu HU, Zhixin LIU, Yongjun ZHAO, Chuang ZHAO. Coherent Integration Algorithm Based on Adjacent Cross Correlation Function-Parameterized Centroid Frequency-Chirp Rate Distribution -Keystone Transform for Maneuvering Target in Passive Radar[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2358-2365. doi: 10.11999/JEIT180858

Citation:

Yongsheng ZHAO, Dexiu HU, Zhixin LIU, Yongjun ZHAO, Chuang ZHAO. Coherent Integration Algorithm Based on Adjacent Cross Correlation Function-Parameterized Centroid Frequency-Chirp Rate Distribution -Keystone Transform for Maneuvering Target in Passive Radar[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2358-2365. doi: 10.11999/JEIT180858

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Coherent Integration Algorithm Based on Adjacent Cross Correlation Function-Parameterized Centroid Frequency-Chirp Rate Distribution -Keystone Transform for Maneuvering Target in Passive Radar

doi: 10.11999/JEIT180858

School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China

Funds: The National Natural Science Foundation of China (61703433)

Received Date: 2018-09-03
Rev Recd Date: 2019-08-01

Available Online: 2019-08-21

Publish Date: 2019-10-01

Abstract

Abstract

Increasing the integration time can effectively improve the detection performance of passive radar. However, for maneuvering targets, the complex motions, such as high velocity, acceleration and jerk, cause existing detection methods to suffer the Range Migration (RM) and Doppler Frequency Migration (DFM) during the integration time, which deteriorates the detection performance. This paper addresses the long time coherent integration for a maneuvering target with high-order motion (e.g., jerk motion) in passive radar systems. A method based on Adjacent Cross Correlation Function (ACCF), Parameterized Centroid Frequency-Chirp Rate Distribution (PCFCRD) and Keystone Transform (KT)(ACCF-PCFCRD-KT), is proposed. Firstly, the signal model for the maneuvering targets is given, and the influence of the target velocity, acceleration and jerk on the coherent integration is analyzed. For the Doppler curvature induced by the jerk motion, the ACCF is firstly applied to reducing the order of RM and DFM. Then the PCFCRD operation is employed to estimate the acceleration and jerk parameters. After compensating the RM and DFM caused by the acceleration and jerk, the RM arising from the velocity is corrected via the KT operation and the target echo energy is coherently integrated. Simulation results demonstrate that the proposed method can effectively compensate the RM and DFM caused by the target motion parameters in passive radar, and for a maneuvering target with jerk motion, the proposed method achieves better integration performance over the existing methods.

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References(20)

References

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