Radar High-Speed Maneuvering Target Detection Based on Three-Dimensional Scaled Transform

This paper presents a novel coherent high-speed maneuvering target detection algorithm, which is based on the three-dimensional (3-D) scaled transform. This algorithm coherently integrates the echo energy into a peak in a 3-D parameter space and estimates the target's radial velocity and acceleration simultaneously by the peak detection technique. Thereafter, compensating off the across range unit and Doppler frequency migration via estimations, this algorithm coherently integrates the echo energy in the range-Doppler space and uses the constant false alarm rate technique to complete the target detection. The cross term of the proposed algorithm is also analyzed and its characteristic indicates the applicability in the scenario of multiple targets. The computational complexity, resolution, peak-to-sidelobe level (PSL), and detection performance are analyzed and compared with several typical algorithms, which leads us to conclude that the proposed algorithm can strike a balance between the computational complexity and detection performance with high resolution and PSL. Finally, experiments with the real measured radar data are conducted to verify the proposed algorithm.