Doppler channel correlation two-stage dimension reduction method for onboard multiple input multiple output (MIMO) radar
A Doppler channel and dimensionality reduction technology, applied in the field of radar signal processing, can solve the problems of large amount of computation, low computational complexity, and small amount of computation
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Embodiment 1
[0073] The present invention aims at that when the traditional mDT method is applied to airborne MIMO radar clutter suppression, it is restricted by problems such as covariance matrix estimation and calculation amount, and still faces the transmit-receive two-dimensional beamforming in the airspace after Doppler filtering However, the processor dimension is still very high, which limits the practical application of the mDT method. Innovation and research have been carried out, and a Doppler channel correlation two-level dimensionality reduction method for airborne MIMO radar is proposed to further reduce the processor dimension, reducing the amount of computation. see figure 2 , the flow of the Doppler channel correlation two-level dimensionality reduction method of the airborne MIMO radar of the present invention is as follows:
[0074] Step 1. Build a model, the radar antenna receives the clutter reflected by the ground, the present invention utilizes the reference transmi...
Embodiment 2
[0145] The Doppler channel correlation two-level dimensionality reduction method of the airborne MIMO radar is the same as that in Embodiment 1, wherein step 6 utilizes an alternate iterative method to alternately optimize two low-dimensional weight vectors, and calculate the optimal transmission weight vector v and the optimal reception weight vector u, Such as image 3 , the specific process is as follows:
[0146] 6.1 Given the initial values of u and v, take the initial value of u here: u (0) =a r / (a r H a r ), where a r is the steering vector of the target relative to the receiving array; the initial value of v is: in is the steering vector of the target relative to the launch array;
[0147] 6.2 Use the initial value v of the launch weight vector (0) Construct dimensionality reduction matrix And calculate the dimensionality reduction covariance matrix put v (0) and Substituting into the optimal receiving weight vector formula to update the receiving ...
Embodiment 3
[0159] The Doppler channel correlation two-level dimension reduction method of the airborne MIMO radar is the same as that of Embodiment 1-2. In order to further illustrate that the Doppler channel correlation time domain and space domain two-level dimension reduction method of the airborne MIMO radar of the present invention is better than the existing The superiority of the method (such as 1DT, 3DT), the present invention is described again below by simulation, given following simulation conditions:
[0160] The performances of mDT and the dimensionality reduction mDT method of the present invention are compared under the two cases of m=1 and m=3 through numerical simulation. For the case of m=1 (1DT), Doppler filtering in time domain adopts -70dB Chebyshev weighting to suppress the side lobe. The experimental parameters are set as follows: aircraft speed v=150m / s, height h=9km, wavelength λ=0.3m, pulse number K=32, pulse repetition period T r =5×10 -4 s, number of transmi...
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