Multi-radio device for WLAN
US-9226270-B1 · Dec 29, 2015 · US
US9729277B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9729277-B2 |
| Application number | US-201615331875-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 23, 2016 |
| Priority date | Dec 14, 2015 |
| Publication date | Aug 8, 2017 |
| Grant date | Aug 8, 2017 |
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A signal detecting method and device are disclosed. The method includes: obtaining a matched filtering signal; determining a filtering matrix; decomposing the filtering matrix to obtain a principal diagonal matrix and a non-principal diagonal matrix; obtaining a parameter matrix and a parameter vector according to the principal diagonal matrix, the non-principal diagonal matrix, and the matched filtering signal; obtaining an iterative parameter and an iterative initial value according to the parameter matrix and the parameter vector; and performing an iterative calculation according to the iterative parameter and the iterative initial value; if the number of iterations reaches a preset number, obtaining an iterative final value, and obtaining an input of a decoder according to the iterative final value. The signal detection method may reduce the computational complexity and bit error rate, improve data throughput, and more advantageous for use in a large-scale multi-input multi-output system.
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What is claimed is: 1. A signal detecting method, applied to a base station which is configured to receive an encoded signal, and comprising: obtaining, with one or more processors, a matched filtering signal, a channel Gram matrix and a filtering matrix, wherein the matched filtering signal is obtained by performing antenna matched filtering on the encoded signal; determining, with the one or more processors, a filtering matrix used when obtaining the matched filtering signal according to a channel matrix, a noise power spectrum density, an average power for each transmission signal, a unit matrix and the number of antennas in the antenna array of the base station; decomposing, with the one or more processors, the filtering matrix to obtain a principal diagonal matrix and a non-principal diagonal matrix; obtaining, with the one or more processors, a parameter matrix and a parameter vector for an iterative calculation according to the principal diagonal matrix, the non-principal diagonal matrix, and the matched filtering signal; obtaining, with the one or more processors, an iterative parameter and an iterative initial value according to the parameter matrix and the parameter vector; and performing, with the one or more processors, the iterative calculation according to the iterative parameter and the iterative initial value; if the number of iterations reaches a preset number, obtaining an iterative final value with the one or more processors, and obtaining with the one or more processors an input of a decoder according to the iterative final value, so as to decode the encoded signal and to realize a signal detecting. 2. The signal detecting method according to claim 1 , wherein, obtaining a matched filtering signal comprises: obtaining the matched filtering signal by a formula of y MF =H H y, where, y is the encoded signal which is a signal via a channel received by an antenna array of the base station, y MF is the matched filtering signal, H is a channel matrix, and H H is a conjugate transpose matrix of the channel matrix H. 3. The signal detecting method according to claim 1 , wherein the filtering matrix is obtained by a formula of A=H H H+N 0 E s −1 I M , where, A is the filtering matrix, H is the channel matrix, H H is a conjugate transpose matrix of the channel matrix H, N 0 is the noise power spectrum density, E s is the average power for each transmission signal, E s −1 is a reciprocal value of the average power for each transmission signal, I M is the unit matrix, and M is the number of antennas in the antenna array of the base station. 4. The signal detecting method according to claim 1 , wherein, obtaining a parameter matrix and a parameter vector for an iterative calculation according to the principal diagonal matrix, the non-principal diagonal matrix, and the matched filtering signal comprises: obtaining the parameter matrix according to the principal diagonal matrix and the non-principal diagonal matrix by a formula of R=P −1 Q, where, R is the parameter matrix, P is the principal diagonal matrix, P −1 is an inverse matrix of the principal diagonal matrix, and Q is the non-principal diagonal matrix; obtaining the parameter vector according to the principal diagonal matrix and the matched filtering signal by a formula of T=P −1 y MF , where, T is the parameter vector, and y MF is the matched filtering signal. 5. The signal detecting method according to claim 1 , wherein, the iterative parameter comprises an iterative coefficient matrix and an iterative constant matrix; and obtaining an iterative parameter and an iterative initial value according to the parameter matrix and the parameter vector, comprises: obtaining the iterative coefficient matrix according to a time relaxation parameter and the parameter matrix by a formula of B =(1−ω) I−ωR , where, B is the iterative coefficient matrix, ω is the time relaxation parameter, and I is a unit matrix, R is the parameter matrix; obtaining the iterative constant matrix according to the time relaxation parameter and the parameter vector by a formula of F=ωT, where, F is the iterative constant matrix, T is the parameter vector; and obtaining the iterative initial value according to the parameter matrix and the parameter vector by a formula of ŝ (0)=( I−R ) T, where, ŝ(0) is the iterative initial value. 6. The signal detecting method according to claim 5 , wherein, performing the iterative calculation according to the iterative parameter and the iterative initial value, comprises: performing the iterative calculation by a formula of ŝ ( k )= Bŝ ( k −1)+ F, where, k is the number of iterations, and k is a positive integer equal to or greater than 1. 7. The signal detecting method according to claim 1 , wherein, wherein obtaining an input of a decoder according to the iterative final value comprises: obtaining a computation signal according to the iterative final value and principal diagonal elements of an effective channel gain matrix by a formula of φ b ( s ^ i ) = min s ∈ S b 0 s ^ i U ii - s 2 - min s ∈ S b 1 s ^ i U ii - s 2
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