First-order sea clutter detection method based on least squares approximation
A least squares and detection method technology, applied in the field of high-frequency ground wave radar detection, can solve the problems of inaccurate Bragg peak position and high false alarm rate, reduce interference such as spectrum splitting and high-frequency noise, improve accuracy,  Solve the effect of inaccurate recognition
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specific Embodiment approach 1
[0025] Specific implementation mode one: as Figure 8 As shown, the first-order sea clutter detection method based on the least squares approximation includes the following steps:
[0026] The original radar echo data undergoes two FFT operations and one DBF operation to obtain the azimuth-range-Doppler spectrum (ARD spectrum) of the echo data. The identification of the first-order sea clutter is to identify the position of the first-order Bragg peak on the ARD spectrum.
[0027] Step 1: From the operating frequency f of the radar 0 , get the theoretical Bragg frequency f B ;
[0028] Step 2: According to f obtained in step 1 B Delineate the noise area on each sea element, and obtain the threshold value of each sea element;
[0029] Step 3: According to the sea state data in the sea area detected by the radar, determine the maximum value V of the radial flow velocity of the ocean current m , and find the maximum value of the Bragg frequency offset Δf m ;
[0030] Step ...
specific Embodiment approach 2
[0048] Specific embodiment two: the difference between this embodiment and specific embodiment one is: obtain theoretical Bragg frequency f in the described step one B The formula is:
[0049] f B = ± 0.102 f 0 - - - ( 6 ) .
specific Embodiment approach 3
[0050] Specific implementation mode three: the difference between this implementation mode and specific implementation mode one or two is that: the threshold value obtained for each sea element in the step two is specifically:
[0051] The threshold for each sea element is N p and the sum of SNR, the N p is the base noise, and SNR (given according to the actual situation) is the set minimum signal-to-noise ratio.
[0052] In this algorithm, the Doppler frequency is in [-2f B ,2f B ] area is divided into noise area (the range of noise area can be adjusted according to the actual situation).
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