GPU architecture-based self-adaption recursive least squares clutter cancellation method
A recursive least squares and self-adaptive recursive technology, applied in the field of radar, can solve problems such as unsatisfactory signal processing system, clutter suppression speed limit, long processing time, etc., achieve strong data scalability, improve processing speed, and reduce development The effect of fees
Inactive Publication Date: 2014-11-12
XIDIAN UNIV
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[0003] Clutter cancellation mainly includes three algorithms: least mean square error LMS, direct matrix inversion SMI, and recursive least squares RLS. Among them, recursive least squares RLS has the best clutter cancellation performance and the highest precision, but the largest amount of calculation , the processing time is also the longest, which is the main shortcoming of RLS, how to improve the processing speed of RLS is a key problem of RLS algorithm
In the prior art, RLS clutter cancellation is implemented based on the CPU architecture, and the clutter suppression speed is limited by hardware, which cannot meet the needs of various signal processing systems
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[0040] refer to figure 1 , the adaptive filter used in the present invention is realized based on two channels, one of which is the main channel, and the received signal includes target signal, direct wave signal, multipath clutter signal and noise signal, and the other is an auxiliary channel, which receives The signal includes direct wave signal and noise signal. The clutter signals in the main channel and the auxiliary channel must be correlated before the clutter can be canceled. When canceling, the clutter in the main channel can be eliminated by subtracting the weighted sum of different delay reference signals from the signal of the main channel. Interference is filtered out to obtain a relatively pure target signal.
[0041] refer to figure 2 , the present invention is based on the adaptive recursive least squares clutter cancellation method of GPU architecture, and its implementation steps are as follows:
[0042] Step 1: Initialize the parameters of the recursive ...
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The invention discloses a GPU (graphic processing unit) architecture-based self-adaption RLS (recursive least squares) clutter cancellation method, and mainly solves the problems that the CPU (central processing unit) architecture-based self-adaption clutter cancellation processing speed is limited by the hardware platform and the parallel execution of clutter cancellation processing is difficult to realize. The implementation steps are as follows: initializing parameters for clutter cancellation at the CPU host side, and transmitting data used for clutter cancellation to a video memory of a GPU; scheduling calculations including matrix multiplication, rectangle subtraction, summation for stipulations of an agreement and the like, involved in the RLS clutter cancellation processing, to the GPU hardware platform to perform parallel execution, so as to obtain the data after clutter cancellation; and transmitting the data after clutter cancellation processing to the host internal memory, enabling the CPU to be responsible for the subsequent data processing work. The GPU architecture-based self-adaption RLS clutter cancellation method has the advantages of simplicity in building of the hardware platform, good stability and accelerating capability, strong expansibility and simplicity in development, and can shorten the clutter cancellation processing time in practical engineering.
Description
technical field [0001] The present invention belongs to the technical field of radar, and mainly relates to the implementation method of clutter cancellation, specifically a kind of self-adaptive recursive least squares clutter cancellation method based on GPU architecture, which can be used in the software provided by the mathematical simulation software MATLAB and Microsoft Quickly perform clutter cancellation on the integrated development platform Visual studio. technical background [0002] Clutter cancellation is widely used in various signal processing systems, especially external radiation radar signal processing systems. Clutter suppression is generally located at the front end of signal processing and is the most important module in the entire signal processing. The quality of clutter suppression directly affects the performance of subsequent signal processing. The purpose of clutter cancellation processing is mainly to solve the problem of strong direct wave and m...
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IPC IPC(8): G06F19/00G01S7/36
Inventor 王俊武勇张培川夏斌
Owner XIDIAN UNIV