Randomization sampling lattice decoding method based on limited distance decoding

A limited-distance, de-randomization technology, applied in the field of de-randomized sampling lattice decoding, which can solve problems such as affecting decoding efficiency and increasing complexity.

Inactive Publication Date: 2014-05-07
BEIJING UNIV OF TECH
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to overcome the disadvantages of derandomized sampling decoding algorithm due to the increase in complexity caused by more search nodes, which affects the decoding efficiency, the present invention proposes ...

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Randomization sampling lattice decoding method based on limited distance decoding
  • Randomization sampling lattice decoding method based on limited distance decoding
  • Randomization sampling lattice decoding method based on limited distance decoding

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0078] The present invention will be further described below in conjunction with the accompanying drawings.

[0079] The present embodiment adopts Matlab simulation software, and method flow chart is as figure 1 shown, including the following steps:

[0080] Step 1, initialize the node list Φ and the candidate grid point list Ψ, and set the candidate grid point list length lzc and the initial sampling times K. When the initial sampling times K=15, the simulations are respectively carried out for the cases where the lengths of the list of candidate grid points lzc=1, 3, 5, and 7. Simultaneously, a simulation is also carried out for the case where the initial sampling times K=30 and the length of the list of candidate grid points lzc=9.

[0081] Step 2, establishing a MIMO system lattice decoding model.

[0082] Establish an uncoded MIMO communication system model consisting of 10 transmitting antennas and 10 receiving antennas, such as (1). The elements of the channel matrix ...

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

No PUM Login to view more

Abstract

The invention relates to a randomization sampling lattice decoding method based on limited distance decoding. The method comprises the steps of initializing settings, establishing an MIMO system lattice decoding model, conducting lattice reduction and QR decomposition on a channel matrix sequentially, conducting sampling decoding on received signals according to the depth-first search strategy to obtain candidate lattice points in a lattice reduction region, and decoded output. According to the decoding method, under the situation that the sampling frequency set initially is fixed, the decoding performance approaches the decoding performance of a randomization sampling decoding algorithm with the increasing of the length of a candidate lattice point list set initially and the increasing the of the number of nodes in a tree, and the performance the same as that of the randomization sampling decoding algorithm can be finally obtained with an access node number and a candidate lattice point number smaller than those of the randomization sampling decoding algorithm; the common breadth-first search strategy is replaced with the depth-first search strategy, the performance close to the optimum performance is obtained with a smaller search node number, complexity is reduced, and decoding efficiency is improved.

Description

technical field [0001] The invention belongs to the field of radio communication, and relates to a derandomized sampling lattice decoding method based on finite distance decoding. Background technique [0002] Multiple-input multiple-output (MIMO) systems with multiple antennas have been applied to modern wireless communications. The multi-antenna technology can break through the Shannon capacity limit under the single-input single-output system, and double the capacity of the communication system. A reliable and computationally efficient decoding algorithm is an important factor for optimal system performance. [0003] In MIMO systems, maximum likelihood (ML) decoding provides optimal error performance, but it suffers from exponentially increasing complexity with respect to the number of transmit antennas, so its complexity is too high to obtain Wide range of applications. In order to realize low-complexity decoding, linear decoding with low complexity is applied, such a...

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
no application Login to view more
IPC IPC(8): H04L1/00H04B7/04
Inventor 孙艳华陈希爽杨睿哲孙恩昌司鹏搏张延华
Owner BEIJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap