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A low-complexity space-frequency adaptive anti-jamming channel equalization method

A space-frequency self-adaptive and channel equalization technology, which is applied in space transmit diversity, baseband system components, diversity/multi-antenna systems, etc., can solve the problem of frequency selective fading of received signals, and the improvement of broadband wireless transmission rate and quality. Large and other problems, to achieve the effect of improving survivability and reducing computational complexity

Active Publication Date: 2020-10-27
XIAN HUAXUN TIANJI COMM TECH CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

NLOS propagation causes the received signal to suffer severe frequency selective fading, which has a great impact on the improvement of broadband wireless transmission rate and quality

Method used

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  • A low-complexity space-frequency adaptive anti-jamming channel equalization method
  • A low-complexity space-frequency adaptive anti-jamming channel equalization method
  • A low-complexity space-frequency adaptive anti-jamming channel equalization method

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Embodiment Construction

[0042] The present invention is described in further detail below in conjunction with accompanying drawing:

[0043] A low-complexity space-frequency adaptive anti-jamming channel equalization method of the present invention comprises the following steps:

[0044] Step 1: Divide the transmission signal into blocks at the sending end to obtain data blocks, add UW at the end of each data block, and send it to the receiving end; wherein, the signal frame structure of the sending signal includes centralized pilot and data, centralized Pilot and data block lengths are the same.

[0045] Step 2: After receiving the signal, the receiving end intercepts the received pilots of each antenna, transforms the received pilots into the frequency domain through DFT, and evenly divides the received pilots into different Each sub-band is composed of adjacent sub-carriers; the autocorrelation matrix and cross-correlation vector are calculated for each sub-band, and then the adaptive weights of ...

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Abstract

The invention discloses a low-complexity space-frequency adaptive anti-interference channel equalization method, and the method comprises the steps: partitioning data at a transmitting end, and addingUW to the tail of each data block; then, enabling the sending signal to arrive at a receiving end and subjecting to timing synchronization preprocessing, and intercepting a received pilot frequency;and respectively performing DFT (Discrete Fourier Transform) on the receiving pilot frequency of each path of antenna to a frequency domain; carrying out sub-band segmentation on the received pilot frequency in a frequency domain, and calculating an optimal time domain adaptive weight of each sub-band; partitioning received data, performing DFT (Discrete Fourier Transform) to a frequency domain, performing sub-band segmentation by using the same method, solving an adaptive weight of each sub-band, performing sub-band space-frequency equalization and combination on a received data block on eachantenna by a receiving end, converting the data block to a time domain, and performing UW (Unscented Wavelength) removal operation. The method is effective in sight distance and non-sight-distance environments in a wireless communication system, has a certain inhibition capability on multipath self-interference and external interference, and effectively improves the survivability of a communication link in a complex electromagnetic environment.

Description

technical field [0001] The invention belongs to the field of wireless communication, and relates to a low-complexity space-frequency adaptive anti-jamming channel equalization method. Background technique [0002] In today's society, communication technology is changing with each passing day, and wireless communication is increasingly being used more and more widely. The wireless communication channel, which combines the three characteristics of open communication environment, diverse geographical environment for receiving signals, and random movement of communication users, is extremely complex, so that various application scenarios of wireless communication systems can no longer be discussed together with the traditional AWGN model. There are two types of electromagnetic transmission in wireless communication systems: line-of-sight (LOS) propagation and non-line-of-sight (NLOS) propagation. NLOS propagation refers to a propagation mode in which there is no direct path bet...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/03H04B7/06
CPCH04B7/0617H04L25/03006H04L25/03159
Inventor 张渭乐詹煜廷穆鹏程王文杰
Owner XIAN HUAXUN TIANJI COMM TECH CO LTD
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