A low-complexity signal detection method for massive MIMO systems
A low-complexity, signal detection technology, applied in transmission systems, digital transmission systems, radio transmission systems, etc., to achieve the effect of accelerating convergence speed, reducing algorithm complexity, and reducing the amount of calculation
Active Publication Date: 2022-03-25
CHONGQING UNIV OF POSTS & TELECOMM
View PDF5 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0005] In view of this, the purpose of the present invention is to provide a low-complexity signal detection method for massive MIMO systems. Firstly, for the problems that linear detection and nonlinear detection algorithms require high-dimensional matrix inversion due to the increase in antenna scale, the present invention uses GS The algorithm is applied in the massive MIMO system. The algorithm avoids complex high-dimensional matrix inversion by solving linear equations, and obtains accurate MMSE estimation in an iterative manner.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0061] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.
[0062] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to a low-complexity signal detection method for a massive MIMO system, which belongs to the technical field of communication testing, and includes the following steps: S1: converting the channel model of the massive MIMO system into an equivalent substantive model, and constructing a filter matrix W, Receive estimation matrix and matched filter output matrix S2: use the GS algorithm to iteratively solve the received signal based on the model constructed in step S1; S3: optimize the detection results of the GS algorithm, and use the Fibonacci search algorithm to classify the constellation diagram Block, select the appropriate initial value of the iteration, and complete the signal detection. The invention reduces the complexity of the algorithm by an order of magnitude while ensuring that the signal detection performance is close to the basis of the bit error rate performance of the MMSE algorithm.
Description
technical field [0001] The invention belongs to the technical field of communication testing, and relates to a low-complexity signal detection method for a massive MIMO system. Background technique [0002] The core idea of the Massive Multiple-Input Multiple-Output (MIMO) technology is to equip the base station (Base Station, BS) with hundreds of antennas, so that a large number of antennas can send and receive data at the same time, and simultaneously serve the One of the key factors to realize these benefits is the MIMO signal detection technology, whose performance greatly affects the overall performance of the system. [0003] However, the advantages brought by massive MIMO systems come at the cost of significantly increased signal processing complexity. In terms of signal reception, hundreds or even thousands of transmitting and receiving antennas will complicate the signal at the receiving end, making signal detection very difficult. Therefore, researching signal d...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/08H04B7/0456H04L1/00
CPCH04B7/0854H04B7/0456H04B7/0486H04L1/0048
Inventor 邓炳光李晨张旭辉徐方圆温鹏瑜沈艳禹斯译张治中
Owner CHONGQING UNIV OF POSTS & TELECOMM