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Detection method for LTE downlink subsidiary synchronizing channel

A detection method and synchronization channel technology, applied in the direction of synchronization device, wireless communication, communication between multiple stations, etc., can solve the problems of cell identification group number error, channel noise interference, secondary synchronization index number detection error, etc., to achieve The effect of improving the detection accuracy

Inactive Publication Date: 2014-04-02
FUDAN UNIV
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AI Technical Summary

Problems solved by technology

This method of detecting a single maximum correlation value and obtaining the secondary synchronization index number is susceptible to channel noise interference. When performing correlation detection on the secondary synchronization sequence, if the position of the possible secondary synchronization sequence corresponding to the maximum correlation value deviates, the secondary synchronization The index number detection error, the cell identification group number is also wrong

Method used

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  • Detection method for LTE downlink subsidiary synchronizing channel
  • Detection method for LTE downlink subsidiary synchronizing channel
  • Detection method for LTE downlink subsidiary synchronizing channel

Examples

Experimental program
Comparison scheme
Effect test

experiment example 1

[0042] Experimental example 1: Detection performance under different detection thresholds

[0043] This experimental example simulates the effect of the threshold setting on the detection performance. In the experiment, it is assumed that the mean square error of the channel estimation is 0.1. When the threshold is set to the maximum correlation value, the index number m 0 There is only one candidate sequence number in the candidate set, which is the m corresponding to the maximum correlation value 0 , and only use this to detect the corresponding m 1 , the scope of the candidate set becomes only a pair of index numbers, so that m 0 If there is an error, it will have a direct impact on the detection performance. Once m 0 error, m 1 Regardless of whether the detection is correct or not, the finally detected cell identity group number must be wrong. image 3 Shows the performance curve of the correct detection probability of the cell ID group number under this threshold sel...

experiment example 2

[0047] Experimental example 2: Multi-frame averaging improves detection accuracy

[0048] This experimental example simulates the detection accuracy performance curve after using the multi-frame averaging method. It is assumed that continuous multi-frame secondary synchronization signals sent by the base station arrive at the receiving end through an independent multipath fading channel. The user receiver first performs channel demodulation on these secondary synchronization sequences, and then averages the obtained sequences as the input sequence of the detection algorithm. The detection threshold is set to be 0.5 times of the maximum correlation value. Figure 4 The performance curve of the detection accuracy rate of the cell identification group number after adopting the multi-frame averaging method is shown. It can be seen from the figure that after multi-frame averaging processing, the correct detection probability of secondary synchronization can be significantly impro...

experiment example 3

[0049] Experimental example 3: The influence of different channel estimation mean square errors on the probability of correct detection

[0050] This experiment simulates the influence of different channel estimation mean square errors on the correct detection probability. In the simulation, it is set to receive two secondary synchronization signals continuously for averaging, and the detection threshold is set to 0.5 times the maximum correlation value. Figure 5 The performance curves of the correct detection probability of the cell identity group number changing with different received signal-to-noise ratios under different channel estimation mean square errors are shown. It can be seen from the figure that the probability of correct detection of the secondary synchronization signal decreases with the increase of the mean square error of channel estimation. The correct probability is about 92%; when the mean square error of channel estimation is 0.2, the correct detection p...

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Abstract

The invention belongs to the technical field of wireless communication, in particular to a detection method for an LTE downlink subsidiary synchronizing channel. The method comprises the following steps: firstly discriminating the signal-to-noise ratio of a received signal in quantity; dividing an output signal sequence into sequences for extracted odd numbers and even numbers respectively; then dynamically setting a detection threshold based on the maximum correlation value lambda, and comparing to obtain a candidate set of m0; then determining a candidate set of m1 based on the candidate set of m0 and the correspondence relationship between m0 and m1; adding the correlation values of index numbers which are in one-to-one correspondence with the two candidate sets together, and using the index numbers corresponding to one-set correlation values the obtained sum of which is the maximum as subsidiary synchronizing ultimate index numbers (m0,m1); and determining an ultimate cell identification group number based on the subsidiary synchronizing sequence index numbers (m0,m1). By optimizing the discussion in the detection process of m1, the invention reduces the detection operand of m1; and by carrying out multi-frame averaging on the subsidiary synchronizing sequence part in a subframe, the invention improves the detection precision.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a detection method of an LTE downlink secondary synchronization channel and a cell identification group number. Background technique [0002] The 3rd Generation Partnership Project Long Term Evolution (3GPP-LTE) mobile communication system is the evolution of the 3rd generation (3G) mobile communication system. It was proposed in Toronto in 2004 by 3GPP Meeting. LTE adopts Orthogonal Frequency Division Multiplexing (Orthogonal Frequency Division Multiplexing, OFDM) technology and Multiple Input Multiple Output (Multiple Input Multiple Output, MIMO) technology as a physical layer wireless air interface standard. LTE can provide a peak rate of 326Mbit / s downlink and 86Mbit / s uplink under a 20MHz spectrum bandwidth. [0003] Downlink synchronization is an important part of cell search. The mobile station needs to obtain time and frequency synchronization...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/00H04B7/26H04W24/00H04W56/00H04L27/26
Inventor 刘炳红胡蝶
Owner FUDAN UNIV
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