Self-adaption apodization method based on phase coherent information
A technology of phase coherence and phase information, applied in the field of signal analysis, can solve the problems of off-axis signal interference, complex calculation, weighted value not associated with received data, etc., achieve low horizontal resolution, simple calculation process, and improve horizontal resolution rate effect
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Embodiment 1
[0031] Such as figure 1 As shown, an adaptive apodization method based on phase coherence information, the specific steps are as follows:
[0032] Step 1: Perform classic analog-to-digital conversion (A / D) on the signals obtained from each channel.
[0033] Step 2: Perform initial delay and dynamic focus processing on the signal obtained through step 1 to obtain the processed signal Ι_i, 1≤i≤N, where N is the number of channels; at the same time, delay each signal by several clock beats , waiting for the acquisition of the adaptive apodization coefficient.
[0034] Step 3: Hilbert transform the signal I_i of each channel, and obtain the corresponding phase information Phase_i of each channel through the CORDIC algorithm.
[0035] Step 4: Average the channel phase information obtained in step 3 As the scanning depth increases, the receiving aperture increases gradually, and N increases gradually.
[0036] Step 5: On the basis of step 4, obtain the absolute difference Phase...
Embodiment 2
[0043] Such as figure 2 , 3 , as shown in 4: where image 3 for figure 2 The sub-module of shows a schematic diagram of multi-frequency sub-band decomposition and adaptive apodization coefficient calculation module; Figure 4 for figure 2 The sub-module of , showing the schematic diagram of the adaptive apodization coefficient calculation module. The specific implementation steps are as follows:
[0044] Step 1: Perform classic analog-to-digital conversion on the signals obtained from each channel.
[0045] Step 2: If figure 2 As shown, the initial delay and dynamic focus processing are performed on the signal obtained through step 1 processing, and each channel signal Ι_i after processing is obtained, 1≤i≤N, where N is the number of channels; as image 3 As shown, the multi-frequency sub-band decomposition is performed on each channel signal to obtain the sub-band signal I_i_I_j of each channel signal, 1≤j≤M, where M is the number of signal decomposition frequencies,...
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