Matrix Transposition Method and Transposition Device for Synthetic Aperture Radar Imaging System

Abstract

The invention belongs to a matrix transposition method and a transposition device of a synthetic aperture radar imaging system. The method includes: input of synthetic aperture radar echo matrix data, segmentation of echo data matrix and generation of read-write address, writing echo matrix data into SDRAM, reading echo matrix data into output buffer unit and echo matrix data transpose output; the transpose device includes: FPGA transpose processor including communication unit, parameter configuration unit, write address unit, read address unit, input cache unit, SDRAM control unit, output cache unit, and parallel-to-serial conversion unit , Single-chip SDRAM, imaging processor. In the transposition process, the invention can configure the size of the sub-matrix block according to the size of the original data matrix of the input echo, and carry out optimal segmentation; thus, the structure of the transposition device is simple and reliable, and the number of SDRAM line changes is the least during the entire reading and writing process , high transposition efficiency, and strong adaptability to the size of the transposed data matrix.

Description

technical field [0001] The invention belongs to the field of synthetic aperture radar (Synthetic Aperture Radar—SAR), in particular to a matrix transposition method of a synthetic aperture radar imaging system and a matrix transposition process using FPGA (Field Programmable Gate Array) as a processor used in the method device. Background technique [0002] SAR was developed in the 1950s, and it is an important milestone in the development of radar. Compared with optical sensors, SAR has all-weather, all-time, long-distance and wide observation zone, and the ability to easily distinguish moving targets from fixed backgrounds. At the same time, due to its high resolution, synthetic aperture radar has been widely valued. The SAR imaging process is realized by dividing it into two one-dimensional processes, so the dimensions of the data need to be transposed during the data processing process. With the continuous improvement of SAR imaging accuracy requirements, the data vol...

AI Technical Summary

Problems solved by technology

The premise of this method to achieve optimal transposition efficiency is that the data matrix can be divided into several small block matrices with a fixed size of 64×64. will greatly reduce

Therefore, this method has defects such as poor adaptability to the size of the transposed data matrix, and poor efficiency of matrix transposition when the size of the input matrix is ​​different.

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