Coherent Integration Detection of Maneuvering Targets Using Non-Uniformly Resampling Trilinear Autocorrelation Function and KT

The presence of range migration (RM) and Doppler migration (DM) leads to the degradation of performance in coherent integration detection of maneuvering targets. This article proposed a coherent integration detection method for third-order maneuvering targets based on the non-uniformly resam-pling trilinear autocorrelation function (NRTAF) and keystone transform (KT). Firstly, The NRTAF is introduced to address DM, as well as second-order and third-order RM, while first-order RM is eliminated using KT. Subsequently, the energy of signal is accumulated through fast Fourier transform (FFT) and inverse fast Fourier transform (IFFT). The proposed algorithm completely avoids searching for motion parameters, resulting in lower computational complexity. It can effectively suppress cross terms, making it suitable for multi-objective scenarios. Additionally, it is appropriate for high-speed target scenarios. The effectiveness of the algorithm has been confirmed through simulation and measured data.