Paper Info
Title
Judgement-based Joint SLM and PTS Algorithm for PAPR Suppression of Radar Communication Integrated System
Abstract
In radar communication integrated (RCI) systems, multi-carrier shared signals based on OFDM-LFM have been widely used. However, in the OFDM-LFM-RCI multi-carrier system, there is a severe problem that the peak-to-average power ratio (PAPR) is too high. Although applying the conventional selective mapping (SLM) algorithm or partial transmit sequence (PTS) algorithm to the OFDM-LFM-RCI system can reduce the probability of high PAPR, the computational complexity of both algorithms is too high. In order to reduce the computational complexity and improve the PAPR suppression effect, a judgment-based joint SLM and PTS algorithm (J-SLM-PTS) is proposed in this paper. In the proposed J-SLM-PTS algorithm, there are two levels of PAPR suppression processing, the first is SLM algorithm and the other is PTS algorithm. Besides a judgment mechanism is introduced between the two levels. For the judgment mechanism, if the PAPR of the first level output sequence is less than the threshold PAPRth, then the sequence is directly used as the transmit sequence, otherwise it will be transferred to the second level for PTS algorithm processing. The simulation results show that the J-SLM-PTS algorithm can not only greatly reduce the computational complexity, but also have better PAPR suppression effect without reducing the communication and radar performance of OFDM-LFM-RCI systems.
Year
DOI
Venue
2018
10.1109/ICCChinaW.2018.8674505
2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)
Keywords
Field
DocType
Peak to average power ratio,Computational complexity,Partial transmit sequences,Computational modeling,Conferences,Radar
Radar,Power ratio,Computer science,Algorithm,Computational complexity theory
Conference
ISSN
ISBN
Citations 
2377-8644
978-1-5386-7011-8
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Hong Zhao110516.53
Weixia Zou26823.80