Improved dimension-reduction space-time adaptive processing-based ship-borne high-frequency ground wave radar sea clutter suppression method
A high-frequency ground wave radar, self-adaptive technology, applied to radio wave measurement systems, instruments, etc., can solve problems such as poor clutter suppression effect, large amount of calculation of adaptive processing algorithms, etc., to achieve improved azimuth resolution, good sea Noise suppression effect, effect of improving system degree of freedom
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specific Embodiment approach 1
[0024] Specific implementation mode one: the shipborne high-frequency ground wave radar sea clutter suppression method based on the improved space-time adaptive processing of dimension reduction in this embodiment, the specific steps are as follows:
[0025] Step 1, performing range transformation and Doppler transformation on the high-frequency ground wave radar echo baseband signal to form distance unit and Doppler unit data;
[0026] Step 2, using the MUSIC algorithm to perform azimuth processing on any range cell and any Doppler cell data;
[0027] Step 3: Perform dimensionality reduction, space-time adaptive processing on the data processed by the MUSIC algorithm to suppress sea clutter.
[0028] The specific implementation method has beneficial effects:
[0029] In this specific implementation mode, the MUSIC algorithm can be used to realize super-resolution, improve azimuth resolution, and realize sea clutter suppression in azimuth to a certain extent.
specific Embodiment approach 2
[0030] Specific embodiment two: the difference between this embodiment and specific embodiment one is: it is characterized in that described step 2 utilizes the MUSIC algorithm to carry out the steps of azimuth direction processing to any distance unit and any Doppler unit data as follows:
[0031] For any range unit and any Doppler unit, traverse the azimuth angle [0°, 180°], the angle interval is 3°, and calculate the output value P of different azimuth angles MUSIC (φ 0 )
[0032] P M U S I C ( φ 0 ) = 1 | s s ( φ 0 ) H ...
specific Embodiment approach 3
[0034] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is that it is characterized in that the noise subspace matrix U is realized by the following steps:
[0035] For any range unit and any Doppler unit, the data d of different antenna elements is defined as
[0036] d=[d 1 , d 2 ,...,d N ] T (1)
[0037] According to the formula (1), the covariance matrix R is obtained 0 for
[0038] R 0 =dd H (2)
[0039] The noise subspace matrix U consists of the covariance matrix R 0 The smallest N in n The eigenvectors of the eigenvalues are formed.
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