Phase coding sequence parallel accelerated descent optimization design method

Abstract

The invention designs a phase coding sequence parallel accelerated descent optimization design method. For a non-convex optimization problem, a coordinate descent method is sensitive to an initial value and cannot guarantee that a satisfactory optimal solution is finally obtained. Aiming at the problems of the two optimization methods, the invention provides a phase coding sequence parallel accelerated descent optimization design method. The method comprises the following specific steps of generating a new solution by adopting a simulated annealing algorithm according to a set initial coding parameter, and performing variable updating by taking the new solution as an initial parameter of a coordinate descent method; and judging whether the target function increment corresponding to the updated solution meets an acceptance condition or not, and when the new solution meets a convergence condition, ending calculation. According to the method, the simulated annealing algorithm and the coordinate descent method are combined, the simulated annealing solution serves as input of coordinate descent, descent of the target function is accelerated, and the problem that the coordinate descent method is sensitive to initial variables is solved.

Description

technical field [0001] The invention relates to the technical field of radar waveform optimization. Background technique [0002] As the electromagnetic environment becomes more and more complex, electronic countermeasures based on radio frequency storage functions are strong and diverse, and the low efficiency of waveform sequence optimization seriously restricts the expansion of the radar waveform library and the flexibility of waveform truncation. For the optimization of discrete multi-phase encoding sequences, usually only rely on intelligent algorithms for global random optimization. Therefore, on the one hand, limited by the efficiency of waveform optimization, the waveform library of current radar equipment is limited; on the other hand, domestic research on frequency-phase composite coded signals is extremely lacking, and we cannot learn from foreign advanced technologies to upgrade our waveform library. [0003] As for the optimization problem of multi-phase encodi...

AI Technical Summary

Problems solved by technology

For non-convex optimization problems, the coordinate descent method is sensitive to the initial value, and the coordinate descent method alone cannot guarantee that a satisfactory optimal solution can be obtained in the end.

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