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| Content Provider | IET Digital Library |
|---|---|
| Author | Liu, Fang Feng, Yongxin |
| Abstract | Considering its simplicity and the uniform distribution of signal energy and interference after transformation, the weighted fractional Fourier transform (WFRFT) has been gradually applied to the field of communication. With in-depth study of WFRFT, the number of weighted terms can be extended from the original four terms to any number. This is called a multi-WFRFT (M-WFRFT). As the number of weighted terms plays an important role in the receiving system, research into an M-WFRFT reception method compatible with different weighted terms is critical. In view of the high complexity of communication systems based on M-WFRFT, in order to solve the general receiving problems of the receiver when the parameters of the transmitter are not fixed or when multiple transmitters share the same receiving system, a regenerative transformation scan method for M-WFRFT signals is established. This is accomplished by adapting to dynamic processing conditions and avoiding the problem of high complexity. In this method, the 4-WFRFT mechanism is introduced, regeneration weighting coefficients are constructed, and the regeneration order is given by combining the inherent relationship between the weighting coefficients and the order. The new method can achieve the purpose of receiving M-WFRFT signals with different number of items and different orders. |
| Starting Page | 514 |
| Ending Page | 521 |
| Page Count | 8 |
| ISSN | 17518628 |
| Volume Number | 14 |
| e-ISSN | 17518636 |
| Issue Number | Issue 3, Feb (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/14/3 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.6278 |
| Journal | IET Communications |
| Publisher Date | 2019-11-18 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | 4-WFRFT Mechanism Communication System Fourier Transforms General Receiving Problem Integral Transforms in Numerical Analysis Multiple Transmitters Radio Link And Equipment Radio Transmitters Receiving M-WFRFT Signal Regeneration Order Regeneration Scanning Method Regeneration Weighting Coefficient Regenerative Transformation Scan Method RSSI Signal Energy Signal Processing And Detection Uniform Distribution Weighted Fractional Fourier Transform WFRFT Communication Signal WFRFT Reception Method |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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