Multi-waveform phase coding method based on mode search algorithm

Abstract

The invention discloses a multi-waveform phase coding method based on a mode search algorithm, belongs to the technical field of radars, and especially relates to a radar waveform coding method. A multi-waveform autocorrelation and cross-correlation function obtained through the method has a low sidelobe level in a specific time delay region, thereby solving a problem that the calculation work is large in the prior art. The implementation process of the method comprises the steps: 1, constructing a target function of a multi-dimensional optimization problem; 2, simplifying the target function, and employing the mode search algorithm to solve the simplified target function; 3, carrying out iteration for many times till a system cannot accept any phase change, i.e., obtaining a waveform design meeting the demands of related characteristics. Compared with a Weighted Cyclic Algorithm New, WeCAN method, the method is high in rate of convergence, is small in calculation work, and can effectively design a phase-coding multiple waveforms with lower autocorrelation and cross-correlation sidelobe in a specific time delay region.

Description

technical field [0001] The invention belongs to the technical field of radar, in particular to a radar waveform encoding method. Background technique [0002] Compared with traditional phased array radar, MIMO radar has larger aperture, better resolution, detection performance and adaptive beamforming capability. Therefore, it is necessary to design a multi-waveform that meets the requirements and apply it to MIMO radar. In addition, with the development of military equipment in recent years, a large number of low-reflection cross-sectional area (RCS) aircraft such as stealth aircraft, unmanned aerial vehicles, and cruise missiles are used in modern warfare, and the target echo energy is significantly reduced, which seriously reduces radar detection. performance. In order to improve the radar detection performance by increasing the signal-to-noise ratio, a typical method is pulse compression, but this method will generate higher range sidelobes, including autocorrelation s...

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Problems solved by technology

At present, some research has been done at home and abroad on multi-waveform design with good autocorrelation and cross-correlation characteristics on a specific delay interval. The document "Designing unimodular sequence sets with good correlations-Including an application to MIMOradar, IEEE transactions on signal processing, 57(11): 4391-4405, 2009" proposed WeCAN Algorithm, design multiple waveforms with low autocorrelation and cross-correlation sidelobes in a specific delay interval through cyclic iteration, but this algorithm has a slow convergence speed and requires a lot of iterations, which reduces the operational efficiency

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