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Bandwidth compression method based on quadrinomial weighted score Fourier transformation

A fractional Fourier transform and bandwidth compression technology, applied in the direction of multi-frequency code system, etc., can solve the problems of wide communication bandwidth, transmission power consumption, occupation, etc., and achieve the effect of reduced occupation and improved spectrum utilization

Active Publication Date: 2014-12-03
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, under the existing multi-carrier communication system represented by OFDM, and the mixed carrier system of single carrier and multi-carrier represented by weighted fractional Fourier transform, due to the mutual aliasing of the frequency spectrum, the SSB can no longer be used. The advantage of communication is that only one sideband is transmitted for communication, and the carrier frequency and the upper and lower sidebands can only be transmitted together, which consumes most of the transmission power and occupies a wider communication bandwidth. If a technology similar to SSB communication can also be implemented under the multi-carrier system, half of the communication bandwidth can be saved.

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  • Bandwidth compression method based on quadrinomial weighted score Fourier transformation
  • Bandwidth compression method based on quadrinomial weighted score Fourier transformation
  • Bandwidth compression method based on quadrinomial weighted score Fourier transformation

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specific Embodiment approach 1

[0022] Specific implementation mode 1. Combination figure 1 Describe this embodiment, the specific implementation method of the bandwidth compression method based on the four-item weighted fractional Fourier transform described in this embodiment is as follows:

[0023] Step 1. At the sending end of the communication system, for a signal X of length N, use an N×N weighting matrix W α Perform four weighted fractional Fourier transform 4-WFRFT to obtain a weighted domain signal Y with a length of N;

[0024] Step 2: The sender sends a signal Y h , the signal Y h is the first half of the weighted signal Y, the signal Y h The length of is N / 2;

[0025] Step 3: The receiving end receives the weighted domain signal Y h , for signal Y h Find the generalized inverse of the matrix to obtain the estimated signal At the same time, use the signal-to-noise ratio formula SNR=10log 10 (P x / P n ) to estimate the signal-to-noise ratio of the channel, where P n is the average power...

specific Embodiment approach 2

[0053] Specific embodiment 2. This embodiment is a further description of the specific implementation method of the bandwidth compression technology based on the four-item weighted fractional Fourier transform described in the specific embodiment 1. The estimated signal is obtained as described in step 3. The specific process is: first extract the first N rows of the weighted matrix to form a new matrix as and then find The generalized inverse matrix of , denoted as W h α + = ( W h α ) H [ W h α ( W h α ) ...

specific Embodiment approach 3

[0054] Specific Embodiment 3. This embodiment is a further description of the specific implementation method of the bandwidth compression technology based on the four-item weighted fractional Fourier transform described in Specific Embodiment 1. The threshold ξ described in step 6 1 By sure, where n i Indicates the i-th noise signal point, N indicates the signal length, Among them, P n Derived from the signal-to-noise ratio formula in step 3 to obtain P n =P x / 10 SNR / 10 .

[0055] Simulate the signal length N=16, the angle α=0.15 of the weighting matrix, ξ 1 According to the estimated value of noise, ξ 2 =10 -4 , using BPSK modulation, the signal-to-noise ratio--bit error rate curve 2 is obtained, such as figure 2 shown. Follow steps 1 to 8 to get the signal-to-noise ratio-bit error rate curve 1 of the weighted fractional Fourier transform that only transmits half the bandwidth. When the signal-to-noise ratio is 9dB, the bit error rate of the symbol full search a...

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Abstract

The invention provides a bandwidth compression method based on quadrinomial weighted score Fourier transformation, relating to a bandwidth resource saving method of a communication system. The method comprises the following steps: in order to achieve the purpose of saving bandwidth in a multi-carrier and mixed-carrier system, performing quadrinomial weighted score Fourier transformation on a signal X of which the length is N at a transmitting end of a communication system by using an N*N weighting matrix Walpha, thus obtaining a weighted domain signal Y; transmitting a weighted domain signal Yh of which the length is N / 2; receiving the weighted domain signal Yh at a receiving end, performing matrix generalized inverse calculation on the signal Yh to obtain an estimated signal, and simultaneously performing SNR (signal-to-noise ratio) estimation on a channel; randomly selecting a random sequence to serve as an estimated value for the second half of the estimated signal; combining the estimated value for the second half of the estimated signal and the first half of the estimated signal to obtain a new signal estimated value; performing quadrinomial weighted score Fourier transformation on the new signal estimated value to obtain a new weighted domain signal; and searching for the optimal signal according to search conditions, and recombining to obtain the original signal. The invention is suitable for the technical field of communication.

Description

technical field [0001] The invention relates to a bandwidth resource saving method of a communication system, in particular to a bandwidth resource compression method based on four-item weighted fractional Fourier transform. Background technique [0002] In wireless communication, especially in the development of mobile communication in recent years, the growth rate of mobile phone users has far exceeded the predicted value, and more and more business volumes need to be transmitted, and there are more and more types of business, while wireless communication The bandwidth resource is a limited resource, how to use the precious bandwidth resource rationally is an important issue concerned by the wireless communication network system. [0003] Under the traditional single-carrier system, in order to save bandwidth, the single-sideband communication technology is proposed, which suppresses one carrier frequency and one sideband, and only sends one sideband. However, under the e...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L27/26
Inventor 沙学军李勇王焜房宵杰李月梅林吴宣利
Owner HARBIN INST OF TECH