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Jammer target discrimination based on local variance of signal histogram in tracking radar and its implementation

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Abstract

In this article, the effects of the number of quantization levels and the sampled signal are considered in the airborne digital radio frequency memory (DRFM). A different model of analog-to-digital conversion is proposed. The histogram of the proposed model is utilized to release synchronization of signals for integration. Then, the local variance technique is used to highlight the differences between a continuous signal and the sampled pre-quantized DRFM signal. Furthermore, the effects of analog reconstruction filter on a DRFM signal are considered. Simulation results show the efficiency and robustness of the proposed method. Finally, a hardware implementation is provided to prove the proposed method.

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Authors and Affiliations

  1. Department of Electrical Engineering, University of Isfahan, Isfahan, Iran

    Mahdi Nouri, Mohsen Mivehchy & Mohamad Farzan Sabahi

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  1. Mahdi Nouri
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  2. Mohsen Mivehchy
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  3. Mohamad Farzan Sabahi
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Correspondence to Mohsen Mivehchy.

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Nouri, M., Mivehchy, M. & Sabahi, M.F. Jammer target discrimination based on local variance of signal histogram in tracking radar and its implementation. SIViP 11, 1025–1032 (2017). https://doi.org/10.1007/s11760-016-1053-8

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  • DOI: https://doi.org/10.1007/s11760-016-1053-8

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