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Segmented normalized minimum mean square error clutter cancellation method based on GPU architecture

A minimum mean square error, GPU architecture technology, applied in the radar field, can solve problems such as the inability to meet the signal processing system, clutter cancellation speed limit, etc., to achieve the effect of improving processing efficiency, reducing development costs, and strong data scalability

Inactive Publication Date: 2016-01-20
XIDIAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In the prior art, NLMS clutter cancellation is implemented based on the CPU architecture, and the speed of clutter cancellation is limited by hardware, which cannot meet the needs of various signal processing systems

Method used

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  • Segmented normalized minimum mean square error clutter cancellation method based on GPU architecture
  • Segmented normalized minimum mean square error clutter cancellation method based on GPU architecture
  • Segmented normalized minimum mean square error clutter cancellation method based on GPU architecture

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Embodiment Construction

[0047] 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.

[0048] refer to figure 2 , the present invention is a segmented normalized minimum mean square error clutter cancellation method based on GPU architecture, and its implementation steps are as follows:

[0049] Step 1: Initialize the parameters of the n...

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Abstract

The invention discloses a segmented NLMS clutter cancellation method based on a GPU framework, and mainly solves the conventional problem that parallel and real-time processing is difficult to achieve for self-adaptive clutter cancellation based on the CPU (central processing unit) framework. The segmented NLMS clutter cancellation method is achieved by the following steps: initializing clutter cancellation parameters at a host of the CPU, dividing clutter cancellation data into two segments, and transmitting to video memories of different GPUs respectively; performing parallel acceleration on all the operation involved in the NLMS clutter cancellation processing by the two GPUs to obtain data after respective clutter cancellation; and transmitting the two segments of data after the clutter cancellation to memories, splicing the two segments of data after the clutter cancellation into one segment of complete data by the CPU, and continuing follow-up processing. The segmented NLMS clutter cancellation method has the advantages of simplicity in hardware platform construction, good stability, high operation speed and precision, strong data expansibility and easiness in development, and can be used for real-time processing of clutter cancellation in practical engineering.

Description

[0001] The present invention belongs to the technical field of radar, mainly relates to the implementation method of clutter cancellation, specifically a kind of segmented normalized minimum mean square error clutter cancellation method based on GPU architecture, which can be used in mathematical simulation software MATLAB and Microsoft Quickly perform clutter cancellation on the provided software integrated development platform Visualstudio. 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 clutter cancellation mainly deals with the problem of strong direct wave and multipath clutter interference. The signal correla...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 王俊武勇汤涛夏斌
Owner XIDIAN UNIV