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SACI-TR algorithm for reducing FBMC-OQAM peak to average ratio

A peak-to-average and algorithmic technology, applied in the field of wireless communication, can solve problems such as low-energy FBMC-OQAM signal analysis

Active Publication Date: 2017-12-29
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the OFDM system was proposed, the problem of reducing its peak-to-average ratio has always been the focus of research. In the past few years, many excellent techniques for reducing PAPR have been proposed [RahmatallahY, Mohan S.Peak-To-Average Power Ratio Reduction in OFDM Systems: A Survey AndTaxonomy[J].IEEE Communications Surveys&Tutorials, 2013,15(15):1567-1592.], but there are still few ways to reduce PAPR for FBMC-OQAM systems
[0004] There are more or less defects in the existing algorithms, and few of them can be analyzed from the FBMC-OQAM signal structure

Method used

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  • SACI-TR algorithm for reducing FBMC-OQAM peak to average ratio

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Embodiment Construction

[0046] The technical solutions in the embodiments of the present invention will be described clearly and in detail below in conjunction with the accompanying drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0047] The technical scheme that the present invention solves the problems of the technologies described above is:

[0048] Below in conjunction with accompanying drawing, the present invention will be further described:

[0049] Assume that in the FBMC-OQAM system, there are M complex input signal data blocks that need to be transmitted through N subcarriers:

[0050]

[0051] in, and Respectively represent the real part and imaginary part of the signal transmitted by the mth data block through the nth subcarrier. The complex input signal of the mth data block is defined as a vector C m :

[0052]

[0053] in,(·) T Defined as the transpose operation of a matrix.

[0054] Dif...

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Abstract

The invention provides an SACI-TR adaptive cyclic iterative reservation subcarrier (SACI-TR) algorithm for reducing an FBMC-OQAM peak to average ratio, and relates to wireless communication systems. Based on the essential reason for the peak to average ratio of FBMC / OQAM, and based on the characteristics of the signal structure, an adaptive cyclic iterative subcarrier (SACI-TR) algorithm is provided. The algorithm can automatically adjust the iterative threshold and a recursive convergence factor through adaptive learning of input data, reduce the PAPR of an FBMC / OQAM signal with less iterations, and do not cause signal distortion. Further, the algorithm can converge with fewer iterations and reduce the complexity of the system on another level. Theoretical analysis and numerical simulation confirm the performance of the algorithm.

Description

technical field [0001] The invention belongs to the field of wireless communication, in particular to a technique for reducing the peak-to-average ratio in filter bank multi-carrier technology. Background technique [0002] As the technical research of the fifth generation mobile communication (5G) is a subject of great concern in the industry, the design of multiple access and multiplexing schemes for 5G is being carried out in depth. Although Orthogonal Frequency Division Multiplexing (OFDM) technology has been adopted by many wireless standards, OFDM is no longer suitable for the development of 5G due to its strong out-of-band radiation and its sensitivity to carrier spectrum offset. Based on the improvement of OFDM, effective multiple access and multiplexing technologies such as filter bank multi-carrier (FBMC) and universal filter multi-carrier (UFMC) have been proposed. [0003] FBMC is a multi-carrier technology that alleviates the impact of carrier frequency offset ...

Claims

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Application Information

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IPC IPC(8): H04L27/26
CPCH04L27/2614H04L27/2618H04L27/2623
Inventor 谢显中吴垒张苗黄静静
Owner CHONGQING UNIV OF POSTS & TELECOMM
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