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Fast autofocus algorithm implementation method based on FPGA

An implementation method and self-focusing technology, applied in the directions of radio wave reflection/re-radiation, utilization of re-radiation, measurement devices, etc., can solve the problem of not proposing the hardware implementation method of the multi-special point method and affecting the practical application of the comprehensive special point method and other issues, to achieve the effect of saving internal resources of the chip, realizing self-focusing, and high-precision requirements

Active Publication Date: 2013-08-21
XIDIAN UNIV
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Problems solved by technology

However, this method only exists in theoretical research at present, because there is no implementation method for the hardware of this multi-special point method, which seriously affects the practical application of the integrated special point method.

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  • Fast autofocus algorithm implementation method based on FPGA
  • Fast autofocus algorithm implementation method based on FPGA
  • Fast autofocus algorithm implementation method based on FPGA

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Embodiment Construction

[0024] The present invention will be further described below in conjunction with the accompanying drawings.

[0025] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0026] Step 1. Read the data stored in the register DDR2SDRAM group by group along the azimuth direction, send it to the FPGA, and calculate the normalized amplitude variance.

[0027] 1.1) Use the FPGA control register DDR2SDRAM to read and write data, and divide the data into real part and imaginary part and send it to FPGA along the azimuth direction;

[0028] 1.2) Use the multiplier generated by the IP core to perform square operations on the real and imaginary part data respectively, and add the square results to obtain the square sum of the real and imaginary part data, and then pass the square sum result through the development process generated by the IP core. Square module to obtain the corresponding amplitude modulus value of each input data. The formula ...

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Abstract

The invention discloses a fast autofocus algorithm implementation method based on an FPGA. The method mainly solves the practicability research problem of an ISAR imaging key technology, and promotes high-precision and high-instantaneity development of ISAR imaging. The implementation method includes the following steps: (1) carrying out normalization amplitude variance operation on a radar echo data module value, and finishing ascending sort of normalization variance results through control of variables of a state machine and a memory type register; (2) judging the size relation between a sorted result and a predetermined threshold, and selecting a data unit with small amplitude changes as a dominant scatterer; (3) carrying out initial phase error estimation through a dominant scatterer unit, obtaining phase error factors on the basis of the look-up table method, and finishing echo phase error compensation of sub-units in a frequency domain through complex multiplication processing. The fast autofocus algorithm implementation method is simple in design, low in system power consumption, high in data processing speed, and capable of being used for autofocus processing of high-instantaneity ISAR imaging.

Description

technical field [0001] The invention belongs to the field of digital signal processing, and particularly relates to a method for realizing self-focusing by using a field programmable gate array FPGA, which can be used for inverse synthetic aperture radar (ISAR) real-time imaging processing. Background technique [0002] When the radar carrier platform does not move, the inverse synthetic aperture radar regards the radar as a reverse motion based on the moving target, and uses the relative motion between the two to continuously transmit and receive signals, so as to realize all-weather, all-weather, Long-distance acquisition of fine images of non-cooperative targets, such as aircraft, ships and missiles, has important military and civilian values. Due to the non-cooperative nature of the imaging objects of inverse synthetic aperture radar, its imaging synthesis array is easily affected by many factors, and the spatial distribution of the array is also relatively complex. Ther...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41G01S13/90
Inventor 李亚超何振全英汇邢孟道黄兴
Owner XIDIAN UNIV
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