Riemann distance-based generalized sidelobe cancellation algorithm
A technology of sidelobe cancellation and distance, applied in the field of airspace adaptive processing algorithm, to achieve the effects of adaptively changing weights, improving signal-to-clutter ratio, and simple and convenient implementation
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[0038] combine figure 1 Describe this embodiment, the generalized sidelobe cancellation algorithm based on Riemann distance described in this embodiment includes the following steps:
[0039] Step 1: Perform range processing and Doppler processing on all channel echo signals of the mixed propagation mode high-frequency over-the-horizon radar to obtain a distance-velocity-channel three-dimensional data block;
[0040] Step 2: Perform digital beamforming processing on each channel data block to form a main beam data block, and perform single notch filter auxiliary beamforming processing on each channel data block at a specified angle unit to form an auxiliary beam data block;
[0041] Step 3: Select the size of the training sample selection unit, select the main beam data of several range units of the specified Doppler unit and angle unit, form the training sample selection data block, and calculate the covariance of the local area unit to be processed corresponding to each rang...
Embodiment 1
[0046] A generalized sidelobe cancellation algorithm based on Riemann distance, comprising the following steps:
[0047] Step 1: Suppose that the echo signal of the mixed propagation mode high-frequency over-the-horizon radar is processed by distance, and the distance dimension of the data is 200; after Doppler processing, the velocity dimension of the data is 309; the number of receiving channels of the actual system is 16, and the obtained The distance-velocity-channel three-dimensional data block is {dataCh}, and its dimension is 200×309×16;
[0048] Step 2: Perform digital beamforming processing on {dataCh}, the angle dimension of the data is 31, and obtain the distance-velocity-angle three-dimensional main beam data block as {dataDBF}, whose dimension is 200×309×31, and draw the 13th angle unit The distance-velocity graph of figure 2 shown.
[0049] For {dataCh} in the specified angle unit 13, perform single-notch filter auxiliary beamforming processing, divide the 16-...
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