基于二阶Keystone变换与遗传算法的相参积累算法OA

To improve the detection performance of radar against high-speed maneuvering targets,coherent integration techniques are commonly employed to enhance the signal-to-noise ratio.However,traditional coherent integration algorithms may introduce range migration and Doppler frequency migration phenomena,which,without correction,will degrade the coherent integration effect and severely affect radar detection performance.For the signal model of high-speed maneuvering targets with uniform acceler-ation,a coherent integration algorithm based on the combination of second-order Keystone transform and genetic algorithm(SKT-GA)is proposed in the paper.In this algorithm,range curvature is firstly eliminated by means of SKT,and the radial acceleration of target is estimated using GA,thereby compensating for the corresponding Doppler frequency modulation phase.Then,SKT is applied to correct range migration,while GA is used to estimate the velocity ambiguity number and compensate for its corresponding ambiguity phase.Finally,coherent integration is applied to multi-pulse echoes,thereby improving the detection probability and en-abling radar to detect high-speed maneuvering targets.Both theoretical analysis and simulation results demonstrate that the pro-posed algorithm possesses good effectiveness and efficiency.