An Antenna Mutual Coupling Correction Method Based on Importance Resampling under the Condition of Coherent Sources
A correction method and an important technology, applied in diversity/multi-antenna systems, electrical components, radio transmission systems, etc., can solve problems such as low accuracy, achieve good performance, accurate estimation, and improved estimation accuracy
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specific Embodiment approach 1
[0051] Embodiment 1: The method for calibrating antenna mutual coupling based on importance resampling under coherent source conditions described in this embodiment includes the following steps:
[0052] Step 1: For a normalized linear array system containing N array elements, under the condition of mutual coupling, calculate the received signal X(t) of the array system;
[0053] Step 2: Use the spatial smoothing technology to process the received signal X(t) of the array system to obtain the forward spatial smoothing covariance matrix R f and the backward spatial smoothing covariance matrix Rb ;
[0054] Step 3. Use the forward space to smooth the covariance matrix R f and the backward spatial smoothing covariance matrix R b Calculate the forward and backward smoothed covariance matrix R fb ;
[0055] Step 4: Smooth forward and backward covariance matrix R fb Perform eigendecomposition to obtain the noise subspace; use the noise subspace to form the spatial spectrum P of...
specific Embodiment approach 2
[0058] Embodiment 2: The difference between this embodiment and Embodiment 1 is that the specific process of step 1 is:
[0059] For a normalized linear array system containing N array elements, the distance between every two adjacent array elements is d;
[0060] The mutual coupling coefficients between adjacent array elements are almost the same, and after increasing the array element spacing, the mutual coupling coefficient decreases, and the mutual coupling coefficient between two sufficiently distant array elements is zero.
[0061] Then the mutual coupling coefficient between adjacent array elements is expressed as:
[0062]
[0063] It can be seen from the structure of the matrix C that the unknown elements of the mutual coupling matrix C can be completely determined by the elements of the first row of the matrix c=[1,c 1 ,…,c N-1 ]Sure;
[0064] where: c 1 represents the mutual coupling coefficient between the first array element and the second array element, c ...
specific Embodiment approach 3
[0082] Embodiment 3: The difference between this embodiment and Embodiment 2 is that the specific process of the second step is:
[0083] For forward spatial smoothing, such as figure 1 As shown, the linear array system is regarded as L sub-arrays, and the number of array elements of each sub-array is M, then starting from the first array element in the front, the first to M-th array elements form the first sub-array, The 2nd to M+1th array elements form the second sub-array, and so on, the N-M+1th to Nth array elements form the Lth sub-array, then the number of sub-arrays L=N- M+1;
[0084] Then the received signal X of the first sub-array with forward spatial smoothing 1 The expression for (t) is:
[0085] X 1 (t)=C 1 (AS(t)+ξ(t)) (9)
[0086] where X 1 (t) and the intermediate variable matrix C 1 The expressions are:
[0087] X 1 (t)=[x 1 (t),x 2 (t),…,x M (t)] T (10)
[0088]
[0089] The received signal X of the second subarray with forward spatial smoo...
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