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Abstract
Long-time coherent integration is an effective means to improve the radar detection ability of high-speed maneuvering targets with jerk motion. However, the range migration (RM) and Doppler frequency migration (DFM) have a great impact on the integration performance. To overcome these problems, a unique method, called the second-order keystone transform modified integrated cubic phase function (SKT-MICPF), is proposed. In this method, the velocity compensation and SKT are jointly employed to correct the RM. After the RM correction, the azimuth echoes of a range cell where a target is located can be modeled as a cubic phase signal (CPS), whose chirp rate (CR) and quadratic CR are related to the target’s radial acceleration and jerk, respectively. Thereafter, an effective parameters’ estimation algorithm for CPS, called MICPF, is proposed and applied to compensate the DFM. After that, coherent integration and target detection are accomplished via the fast Fourier transform and constant false alarm rate technique, successively. Compared with the improved axis rotation discrete chirp Fourier transform, the SKT-MICPF achieves close detection performance, but greatly reduces the computational complexity. The results of simulation and real radar data demonstrate the validity of the proposed algorithm.
Highlights
Modern national defenses have higher requirements for the detection of high-speed maneuvering targets.[1,2] Prolonging the integration time is an effective means to improve the detection performance
After the range migration (RM) correction, the azimuth echoes of a range cell where a target is located can be considered as a cubic phase signal (CPS), whose chirp rate (CR) and quadratic CR (QCR) are related to the target’s radial acceleration and jerk, respectively
The centroid frequency (CF), CR, and QCR of the CPS are set as 40 Hz, 60 Hz∕s, and 50 Hz∕s2, respectively, and the test input signal-to-noise ratio (SNR) are [−10∶1∶0]. 100 iterations of Monte-Carlo experiments are performed for each input SNR value
Summary
Modern national defenses have higher requirements for the detection of high-speed maneuvering targets.[1,2] Prolonging the integration time is an effective means to improve the detection performance. For a high-speed maneuvering target with a uniform jerk, an algorithm based on the generalized KT and second-order dechirp process is proposed in Ref. 11, which employs the range frequency domain form of the compressed echoes, i.e., Eq (5), to accomplish the target’s motion parameters estimation. After the RM correction, the azimuth echoes of a range cell where a target is located can be considered as a cubic phase signal (CPS), whose chirp rate (CR) and quadratic CR (QCR) are related to the target’s radial acceleration and jerk, respectively. Motivated by the previous work, an algorithm, known as second-order keystone transform modified integrated cubic phase function (SKT-MICPF), is presented for the high-speed maneuvering targets with jerky motions. Where B denotes the bandwidth, Ncðtm; tÞ is the compressed noise, and λ 1⁄4 c∕fc is the wavelength
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