High-dynamic pseudo code continuous wave radar long-time accumulation method

Abstract

The invention discloses a high-dynamic pseudo code continuous wave radar long-time accumulation method, which comprises the following steps of: firstly, dynamically reducing the order of a target through an adjacent cross-correlation method, correcting code phase drift caused by high dynamic and high maneuverability of the target, and reducing the Doppler diffusion order; correcting Doppler migration through Lucker transform, and realizing phase-coherent accumulation of signal energy; and finally, estimating a target parameter through peak detection and first-order search. The problems of codephase drift and Doppler migration caused by the high-speed and high-maneuverability target in the pseudo code continuous wave radar are effectively solved, and long-time accumulation and high-precision parameter estimation are realized; code phase drift of the target is corrected through adjacent cross correlation, and compared with a traditional KT method, influence of velocity ambiguity on correction is effectively avoided; a non-search Lucker transform method is adopted to carry out phase-coherent accumulation on signals after code phase drift correction; and compared with a traditional multi-dimensional search GRFT method, the operation complexity is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of microwave radar measurement, in particular to a long-time accumulation method for high-dynamic pseudo-code continuous wave radar. Background technique [0002] In the pseudo-code continuous wave radar system, for the low signal-to-noise ratio, the long-time accumulation method is usually used to improve the signal-to-noise ratio of the echo signal before detection, so as to realize weak target detection and target parameter estimation. However, the long-term observation of high-speed and high-maneuvering targets has effects such as code phase drift and Doppler frequency migration, which makes the traditional partial correlation-coherent accumulation method unable to effectively focus energy on the range-Doppler plane, seriously affecting The effect of signal accumulation and parameter estimation accuracy. In 2013, Li Yachao et al. published the article "A New Algorithm of ISAR Imaging for Maneuvering Tar...

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Problems solved by technology

However, the long-term observation of high-speed and high-maneuvering targets has effects such as code phase drift and Doppler frequency migration, which makes the traditional partial correlation-coherent accumulation method unable to effectively focus energy on the range-Doppler plane, seriously affecting Effect of signal accumulation and parameter estimation accuracy

In 2013, Li Yachao et al. published the article "A New Algorithm of ISAR Imaging for Maneuvering Targets with Low SNR" in "IEEE Transactions on Aerospace & Electronic Systems", Volume 49, Issue 1, Pages 543-557. Blind correction is performed on the moving target’s cross-distance unit walking, but this method can only be applied to scenes with relatively low speed. The speed blur caused by the high-speed movement of the target will cause the method to fail. At the same time, KT cannot solve the Doppel migration problem

In 2011, Xu Jia et al. published the article "Radon-Fourier Transform for Radar Target Detection, I: Generalized Doppler Filter Bank" in "IEEE Transactions on Aerospace and Electronic Systems", Volume 47, Issue 2, Page 1186-1202. A method of coherent accumulation of high-speed target echoes based on Radon Fourier Transform (RFT), but this method can only deal with uniform moving targets and cannot solve the problem of Doppler migration

In 2017, in the article "Focus-before-detection radar signal processing: part I–challenges and methods" published in "IEEE Aerospace & Electronic Systems Magazine", Volume 32, Issue 9, Page 48-59, a method based on Generalized Radon Fourier Transform (GRFT) is a method for coherent accumulation and parameter estimation of high-order moving target echoes, but this method needs to be realized through multi-dimensional search, and the amount of calculation is huge. In addition, this method is also affected by blind speed side lobes. influences

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