volume | PIER Journals

Abstract

Long-time coherent integration (LTCI) is an effective method for maneuvering target detection, as it accumulates signal energy over a long observation period, thereby enhancing the signal-to-noise ratio (SNR). However, as the observation duration increases, range migration (RM) and Doppler frequency migration (DFM) occur, which degrade the integration performance. To this end, a scaling factor is first introduced into the parameterized centroid frequency–chirp rate distribution (PCFCRD) algorithm, thereby yielding the scaled PCFCRD (SPCFCRD), which enables flexible adjustment of the chirp rate estimation range and resolution. Furthermore, SPCFCRD is combined with the keystone transform (KT) to form the proposed KT-SPCFCRD algorithm. The RM caused by unambiguous velocity is first corrected by KT, after which the residual RM and DFM are further compensated by SPCFCRD to achieve coherent integration. The effectiveness of the proposed algorithm is validated through simulations and real-data analysis. Compared with several representative algorithms, KT-SPCFCRD achieves superior detection performance while maintaining a balanced computational cost.

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Dr. Aihua Li

Ms. Wei Liu

Dr. Yuhang Wang

Professor Hao Wang

Dr. Wenwen Xu

Dr. Jianyin Cao