PAPR Reduction of CC-OFDM MIMO Radar Waveform using Golay Codes
Abstract
The development of modern radar technology demands multi-functional features that lead to the importance of designing a flexible, software-controlled digital waveform generator. The CC-OFDM MIMO radar waveforms allow flexibility in subcarrier management; hence it is possible to generate multiple narrow beams which transmitted simultaneously for providing all time coverage of the area.
However, the main issue of OFDM is the high level of its PAPR value. This will cause non-linear distortion that potentially ruin the orthogonality of the OFDM subcarriers and in the end gives error in the radar detection results. In this paper, PAPR reduction using phase coding is done, by comparing the performance of complementary Hadamard, complementary Golay codes and combining it with Selective Mapping (SLM). The PAPR results show that complementary Golay codes without SLM are superior to complementary Hadamard with or without SLM. The maximum PAPR value of 65 beams transmitted simultaneously are 4.9 dB and 11.1 dB for CC OFDM waveform using complementary Golay codes and Hadamard respectively.Full Text:
PDFReferences
D. Kuswidiastuti, L. P. Ligthart, and G. Hendrantoro, “A Transmitter Design for the Multi-beam CC-OFDM Azimuth Scanning MIMO Radar,” IEEE Access, vol. 10, pp. 53682–53702, May 2022, doi: 10.1109/ACCESS.2022.3175883.
Zheng, Xunnan, et al. "PAPR reduction with compressive sensing for joint radar and communication system." 2022 7th International Conference on Signal and Image Processing (ICSIP). IEEE, 2022.
Li, Wanlu, Zheng Xiang, and Peng Ren. "Waveform design for dual-function radar-communication system with golay block coding." IEEE Access 7 (2019): 184053-184062.
Singh, S., & Kumar, A. (2016). Performance analysis of adaptive clipping technique for reduction of PAPR in Alamouti coded MIMO-OFDM systems. Procedia Computer Science, 93, 609–616.
Nguyen, T. T., & Lampe, L. (2008). On partial transmit sequences for PAR reduction in OFDM systems. IEEE Transactions on Wireless Communication, 2, 746–755.
Zhou, Y., & Jiang, T. (2009). A novel multi-point square mapping combined with PTS to reduce PAPR of OFDM signals without side information. IEEE Transactions on Broadcasting, 55, 831–835.
Yang, L., Soo, K. K., Li, S. Q., & Siu, Y. M. (2011). PAPR reduction using low complexity PTS to construct OFDM signals without side information. IEEE Transactions on Broadcasting, 57, 284–290.
Elavarasan, P., & Nagarajan, G. (2015). Peak-power reduction using improved partial transmit sequence in orthogonal frequency division multiplexing systems. Computers & Electrical Engineering, 44, 80–90.
Vittal, M. V. R., & Rama Naidu, K. (2017). A novel reduced complexity optimized PTS technique for PAPR reduction in wireless OFDM systems. Egyptian Informatics Journal, 18, 123–131.
Xiaojing Huang, "Simple implementations of mutually orthogonal complementary sets of sequences," 2005 International Symposium on Intelligent Signal Processing and Communication Systems, Hong Kong, China, 2005, pp. 369-372, doi: 10.1109/ISPACS.2005.1595423.
Sghaier, Mouna, Fatma Abdelkefi, and Mohamed Siala. "New SLM-Hadamard PAPR reduction scheme for blind detection of precoding sequence in OFDM systems." 2014 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2014.
Shankar, T., et al. "Hadamard based SLM using genetic algorithm for PAPR reduction in OFDM systems." 2017 Innovations in Power and Advanced Computing Technologies (i-PACT). IEEE, 2017.
Prasad, Sanjana, and Ramesh Jayabalan. "PAPR reduction in OFDM systems using modified SLM with different phase sequences." Wireless Personal Communications 110.2 (2020): 913-929.
R. Firat Tigrek and P. van Genderen, "A Golay code-based approach to reduction of the PAPR and its consequence for the data throughput," 2007 European Radar Conference, Munich, Germany, 2007, pp. 146-149, doi: 10.1109/EURAD.2007.4404958.
DOI: https://doi.org/10.12962/jaree.v8i2.412
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.