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Self-adaptive orthogonal recovery spatial frequency encoding method

A space-frequency coding and self-adaptive technology, applied in the direction of multi-frequency code system, space transmit diversity, modulated carrier system, etc., can solve the problems of receiving signal separation and system performance impact, reduce redundancy, improve system signal The effect of the noise ratio

Inactive Publication Date: 2018-08-17
HANGZHOU DIANZI UNIV
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AI Technical Summary

Problems solved by technology

Due to the influence of intersymbol interference and interwave interference, the received signal cannot be well separated at the receiving end, and the performance of the entire system will also be seriously affected

Method used

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  • Self-adaptive orthogonal recovery spatial frequency encoding method
  • Self-adaptive orthogonal recovery spatial frequency encoding method
  • Self-adaptive orthogonal recovery spatial frequency encoding method

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Embodiment Construction

[0051] The following specific examples are further descriptions of the methods and technical solutions provided by the present invention, but should not be construed as limiting the present invention.

[0052] An adaptive orthogonal recovery space-frequency coding method, image 3 It is a flowchart of the present invention, specifically comprising the following steps:

[0053] Step 1: Pre-estimate the arrival time difference of signals from different antennas according to factors such as vehicle speed and driving direction, namely

[0054]

[0055] In the formula (p,q) is the current position of the target node in the two-dimensional geographic location coordinates, (p l ,q l ) is the position of the lth antenna in the two-dimensional geographic location coordinates, c is the electromagnetic wave propagation velocity, and η is the delay estimation error.

[0056] To estimate the time delay Δt l Construct a delay estimation loop for the central point, namely

[0057] ...

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Abstract

The invention discloses a self-adaptive orthogonal recovery spatial frequency encoding method. The method comprises the following steps: pre-estimating arrival time difference of signals sent by different antennas according to vehicle driving speed and driving direction and like factors, and constructing a delay estimation ring by taking the estimation delay as a center point; performing phase rotation with different degrees on elements in a pre-encoding matrix by using a delay factor so as to compensate the channel non-orthogonality caused by delay; pre-encoding a pilot frequency signal according to two delays obtained by the delay estimation ring on different sub-carriers of the same OFDM code elements at one time slot; performing channel estimation by using the signal decoded by a receiving end, and decoding the received signal by using the conjugate of the channel pulse response; judging the accuracy of the estimation delay by using a delay estimation judgment ring through the receiving end; and modifying the TDOA according to a feedback value through a sending end. Through the method disclosed by the invention, the system signal-to-noise ratio, the bit error rate and the diversity gain and like performances are greatly improved.

Description

technical field [0001] The invention relates to the design of a receiving system in a multi-antenna environment, in particular to an adaptive orthogonal recovery space-frequency coding method. Background technique [0002] With the continuous development and expansion of mobile communication applications, in some special occasions (such as high-speed railways), it is required to realize high-speed data transmission in the case of fast movement. Typical high-speed mobility scenarios include high-speed trains (High Speed ​​Train, HST), vehicle networking (Vehicle to X, V2X) and air traffic management (Air Traffic Management, ATM). Land high-speed mobile communication systems mainly include high-speed trains and Internet of Vehicles. Today's high-speed trains can reach a speed of 350km / h, and may reach 600km / h-1000km / h in the next five years. The existing Internet of Vehicles system supports an absolute speed of up to 140k / m and a relative speed of 280km / h at a carrier freque...

Claims

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Application Information

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IPC IPC(8): H04B7/0456H04B7/06H04L1/06H04L27/26
CPCH04B7/0456H04B7/0619H04L1/0606H04L27/2695
Inventor 曾嵘刘添晶
Owner HANGZHOU DIANZI UNIV
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