Spherical decoding method
A technology of spherical decoding and decoding signals, which is applied in the direction of encoding, code conversion, and encoding components, can solve the problems of error diffusion in the search direction, increase in computational complexity, and increase in computational complexity, so as to reduce the number of times to adjust the search direction , Computational complexity reduction, the effect of reducing computational complexity
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Embodiment 1
[0053] The sphere decoding process in this embodiment mainly includes: MMSE preprocessing, QR decomposition, and searching for an optimal solution. Among them, the operation of searching for the optimal solution can be performed by using the most commonly used S-E method.
[0054] image 3 A flow chart of the sphere decoding method in this embodiment is shown. see image 3 , the method includes the steps of:
[0055] In step 301, MMSE preprocessing is performed on the channel matrix.
[0056] In this step, in order to consider the influence of noise during signal transmission, noise is first added to the new matrix before performing subsequent sphere decoding operations. Specifically, assuming that the channel parameter is H, since the sphere decoding can only process one-dimensional space, the channel parameter H is used to construct the channel matrix which is H ^ = Real ...
Embodiment 2
[0073] In this embodiment, when performing sphere decoding, in addition to performing the MMSE preprocessing and sorting QR decomposition in Embodiment 1, the search radius is also adjusted according to the noise parameters in each search process, so that the search radius is greater than The corresponding search radius in Example 1 takes into account the influence of the Fano basis.
[0074] Figure 4 A flow chart of the sphere decoding method in this embodiment is shown. see Figure 4 , the sphere decoding method in the present embodiment comprises:
[0075] In steps 401-402, the MMSE preprocessing is performed on the channel matrix, the sorted QR decomposition is performed on the preprocessed channel matrix, and the number of layers of the search space is determined according to the number of rows of the matrix R.
[0076] The two steps here are the same as the operations of steps 301 to 302 in Embodiment 1.
[0077] In steps 403-405, determine the estimated value of th...
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