Soft detection method for mimo system based on pilot channel estimation
A technology of pilot channel and soft detection, which is applied in baseband system components, shaping network in transmitter/receiver, etc., can solve the problem of not considering mutual interference of signals at the receiving end and channel randomness, unsatisfactory and low system detection Performance and other issues, to achieve detection performance and detection complexity, improve detection accuracy, and overcome mutual interference
Active Publication Date: 2018-05-04
XIDIAN UNIV
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The disadvantage of this method is that the data transmission rate of this method is low in an environment with limited system channel capacity and spectrum resources, which cannot meet the needs of today's growing communication services, and the detection bit error rate of the soft output detection matrix is high. detection of the bit signal at the soft output
The disadvantage of this method is that this method does not take into account the mutual interference between signals at the receiving end and channel randomness, and the detection of a signal at a node at the receiving end will be interfered by other detection signals. Channels are random, so this method will reduce the detection performance of the system
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[0038] The present invention will be further described below in conjunction with the accompanying drawings.
[0039] combined with figure 1 , the specific steps to realize the present invention are described as follows:
[0040] Step 1, input data vector and pilot vector.
[0041]In the multiple-input multiple-output MIMO detection model, the input data signal is a data vector composed of a 16QAM modulation signal mapped by Gray code, and each element of the data vector consists of 4 bits.
[0042] In the multiple-input multiple-output MIMO detection model, the pilot signal of a unit array is input arbitrarily, and the power normalization formula is used to normalize the power of the pilot signal to obtain the pilot vector.
[0043] The formula for power normalization is as follows:
[0044]
[0045] where x t represents the pilot vector, Represents the square root operation, N represents the number of receiving antennas of the MIMO system, × represents the multiplica...
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The invention discloses a MIMO system soft detection method based on pilot channel estimation, which mainly solves the problems of low data transmission rate, very high detection complexity and low detection accuracy in the prior art. The implementation steps are: 1. Input data vector and pilot vector; 2. Obtain received signal; 3. Pre-filter; 4. Output soft detection bits; 5. Optimal distribution of data vector transmission power. The present invention adopts the minimum mean square error MMSE signal detection method and the logarithmic likelihood ratio method to perform soft-detection bit analysis on the MIMO detection model, and the detection performance of the soft-detection bits proposed by the present invention is greatly improved The data transmission rate reduces the detection complexity and improves the detection accuracy.
Description
technical field [0001] The present invention relates to the field of wireless communication technology, and further relates to a multiple-input multiple-output MIMO soft detection method based on pilot channel estimation in the field of multi-antenna technology. The invention can complete the detection of the MIMO signal of the soft-output MIMO system based on pilot channel estimation with high accuracy under the condition of ensuring the detection performance of the system. Background technique [0002] The MIMO technology of the multiple-input multiple-output system is a major breakthrough in the smart antenna technology in the field of wireless mobile communication technology. Faced with the high requirements of transmission rate, transmission performance and service capacity of the increasing voice service, data service and broadband Internet service of future mobile communications, in the case of limited channel capacity and spectrum resources, this technology can be us...
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IPC IPC(8): H04L25/03H04L25/02
Inventor 刘向丽王健欢李赞司江勃
Owner XIDIAN UNIV