Abstract:

In order to break through the performance bottleneck of traditional radars, cognitive radar with self-adaptive mechanisms have become a research hotspot. Among them, transmit waveform design is the core component. In order to improve the detection ability of moving targets under the airborne platform, the joint design problem of transmit waveform and receive filter in the multiple input multiple output radar is considered, and an alternate optimization method is used to solve it. When calculating the optimal receiving filter, the optimization problem is modeled as a classic generalized Rayleigh entropy problem, for which the minimum variance distortionless response (MVDR) method is used to solve it. When designing the transmit waveform, the objective function is established under the criterion of maximizing the signal to clutter plus noise ratio (SCNR), and the constant modulus constraints are introduced, and finally the problem is modeled as a non-convex one. In this regard, the classic solution method uses approximate means to relax the constraint, and then uses the Charnes-Cooper transform to solve it. Different from this, an optimization algorithm based on SCNR approximation is proposed to reduce computational complexity. Experimental results show that the method proposed not only has a faster convergence rate, but also can achieve better SCNR gain performance.

Key words: radar waveform, receive filter, constant modulus constraint, joint optimization design