A two-dimensional spatiotemporal correlation log-normal clutter realization method and electronic equipment
A logarithmic normal, space-time correlation technology, applied in the electronic field, can solve the problems of big data resource space, high power consumption, etc.
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Embodiment 1
[0065] Please refer to figure 1 , Embodiment 1 of the present application provides a two-dimensional space-time correlated log-normal clutter implementation method, including:
[0066] Step 101: Obtain a first matrix, which is used to represent time-correlated log-normal clutter sequences;
[0067] Step 102: Determine a second matrix based on a constant λ related to the characteristics of the two-dimensional space-time correlated lognormal clutter, the second matrix is a matrix with M rows and one column, and M is an integer greater than or equal to 1;
[0068] During the execution of the embodiment of the present application, an M×N order matrix can be passed To characterize two-dimensional spatiotemporal correlated lognormal clutter sequences. And, in the actual operation process, the two-dimensional space-time correlated log-normal clutter sequence can be obtained based on the following formula (1):
[0069]
[0070] The first matrix is then z in formula (1) 1...
Embodiment 2
[0131] Please refer to figure 2 , Embodiment 2 of the present application provides an electronic device for realizing two-dimensional space-time correlated log-normal clutter, including:
[0132] The matrix input unit 201 is used to input and obtain a first matrix, and the first matrix is used to represent a time-correlated log-normal clutter sequence;
[0133] A matrix determiner 202, configured to determine a second matrix based on a constant λ related to the characteristics of the two-dimensional space-time correlated lognormal clutter, the second matrix is a matrix with M rows and one column, and M is an integer greater than or equal to 1 ;
[0134] Gaussian sequence matrix generator 203, used to obtain a third matrix, the elements in the diagonal position of the matrix and the lower half of the matrix in the third matrix are Gaussian sequences satisfying the Gaussian distribution, in the third matrix The elements in the upper half of the matrix are 0, and the third...
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