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Randomized trial investigates a novel algorithm for target detection in agile radar systems, suggesting improved effectiveness under complex conditions.
Range migration has become the major problem faced by radar high speed target detection. The existing methods primarily focus on range migration elimination and coherent integration in the traditional radar system with fixed carrier frequency (CF) and pulse repetition frequency (PRF), whereas they are not applicable to the radar system with joint agility of CF and PRF, which possesses robust low-probability-of-intercept and anti-jamming performance under complex electromagnetic circumstances. In this paper, the high speed target detection problem for the CF-PRF agile radar system is considered and a non-searching coherent integration algorithm is proposed, where range frequency reversal and correlation transform (RFRCT), azimuth nonuniform fast Fourier transform (NUFFT) and range inverse fast Fourier transform (IFFT) are combined to eliminate the effect of range migration and radar parameter agility upon coherent integration. Experimental results have been provided to validate the effectiveness of the proposed method.
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Yu et al. (2026) studied this question.
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