Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Channel estimation method in millimeter wave communication

一种信道估计、毫米波的技术，应用在信道估算、无线电传输系统、基带系统等方向，能够解决多射频链、训练开销巨大、压缩感知方法性能高度依赖测量的次数等问题，达到小字典矩阵、降低计算复杂度、降低训练开销的效果

Active Publication Date: 2017-08-11
BEIHANG UNIV
View PDF6 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the performance of compressed sensing methods is highly dependent on the number of measurements, and training is expensive to achieve satisfactory estimation performance
To this end, A.Alkhateeb et al. designed an adaptive compressed sensing (Adaptive CS, ACS) method, which reduces the number of measurements required by designing a layered codebook, but requires more radio frequency chains, and is not applicable For devices with fewer RF chains or analog beamforming / combining configurations

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
  • Channel estimation method in millimeter wave communication
  • Channel estimation method in millimeter wave communication
  • Channel estimation method in millimeter wave communication

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0030] Before presenting the channel estimation method based on virtual multipath acquisition and sparse reconstruction applied to mmWave communication of the present invention, the system model and existing channel estimation methods are firstly introduced.

[0031] A. System model.

[0032] Let s denote the training symbols with unit average power. When the transmitter (Tx) and receiver (Rx) adopt the analog beamforming / combining structure, the expression of the received symbol y is:

[0033]

[0034] Among them, P is the average transmit power, w r and w t are the antenna weight vectors (Antenna weightvectors, AWV) of Rx and Tx respectively, H is the channel matrix, and z is Gaussian white noise. Let N r and N t Denote the number of antennas on Rx and Tx, respectively, w r and w t Respectively N r ×1 and N t ×1 constant modulus unit 2-n...

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 discloses a channel estimation method in millimeter wave communication. The method is realized based on virtual multipath acquisition and sparse reconstruction. According to the method, when the virtual multipath acquisition is carried out, real multipath components are not searched, virtual multipath components of the real multipath components are deduced, and the virtual multipath components are obtained on a codebook with conventional resolution through hierarchical search; and when the sparse reconstruction is carried out, the real multipath components are reconstructed by the obtained virtual multipath components. According to the method, a hierarchical codebook for the hierarchical search is designed and obtained through utilization of a subarray enhancement technology, and the codebook can be applied to two structures of analog beam shaping / combination and hybrid analog / digital precoding / combination. Through application of the method, training expenses for the channel estimation can be greatly reduced; the search time complexity is reduced; and the sparse reconstruction is carried out through adoption of the virtual multipath components, so a relatively small dictionary matrix is obtained and the computing complexity is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of millimeter wave communication, and in particular relates to a channel estimation method based on virtual multipath acquisition and sparse reconstruction applied to millimeter wave communication. Background technique [0002] In recent years, with the rapid development of wireless communication technology, wireless communication plays an increasingly important role in our life. But at the same time, the bandwidth requirements of wireless communication are also increasing, resulting in increasingly tight spectrum resources in low-frequency bands. The millimeter wave (Millimeter wave, mmWave) frequency band has abundant spectrum resources, as a method to solve the problem of increasing shortage of spectrum resources in the above low frequency band, it has attracted extensive attention in the industry. [0003] However, millimeter wave communication also faces severe technical challenges. According to the c...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0456H04L25/02
CPCH04B7/0456H04L25/024H04B7/0634H04B7/0848H04L25/0204H04L25/03929H04L25/03987H04L25/02
Inventor 肖振宇曹先彬席星王向荣
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com