Abstract
In this paper, we consider the advantages of pulse trains made up of complementary pairs of sequences, in applications where a relatively large number of repeated pulses can be utilized for multiple targets detection with unknown arbitrary Doppler. We describe a method for processing radar signals which enhances an existing method that combines the ambiguity functions of several pulse trains via a point-wise minimum processor. Instead of processing each sub-train independently and combining them to obtain the final ambiguity function, the overall pulse train is processed and an enhancement in the Doppler resolution ambiguity function has been produced. To obtain the lowest possible peak side lobes level ordering sequence with the flat spectrum should be applied. Simulations show that it happens when the ‘sequency-ordered’ Walsh matrix is used for ordering complementary pulses in the pulse train. The method renders quite better performance in Doppler resolution for the detection of multiple moving targets using Golay complementary waveforms than the existing algorithm, with slightly poorer side lobe performance. We proved the efficiency of the method by analyzing the corresponding ambiguity functions. The proposed algorithm gets better as the number of received packets of pulses increases. In addition, the performance of the new signal processing method is evaluated by simulations using realistic scenario.
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Simic, S.M., Golubicic, Z.T., Zejak, A.J. et al. Multiple target detection by using Golay complementary waveforms in Reed–Muller sequences. SIViP 16, 2131–2139 (2022). https://doi.org/10.1007/s11760-022-02175-6
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DOI: https://doi.org/10.1007/s11760-022-02175-6