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
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[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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