Research Article
Pulse Compression Analysis for OFDM-Based Radar-Radio Systems
@INPROCEEDINGS{10.1007/978-3-319-73447-7_42, author={Xuanxuan Tian and Tingting Zhang and Qinyu Zhang and Hongguang Xu and Zhaohui Song}, title={Pulse Compression Analysis for OFDM-Based Radar-Radio Systems}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={OFDM Radar-radio Pulse compression Ambiguity function}, doi={10.1007/978-3-319-73447-7_42} }- Xuanxuan Tian
Tingting Zhang
Qinyu Zhang
Hongguang Xu
Zhaohui Song
Year: 2018
Pulse Compression Analysis for OFDM-Based Radar-Radio Systems
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_42
Abstract
Orthogonal frequency division multiplexing (OFDM) radar has been studied in the last years for its suitability to combine simultaneous radar-radio (RadCom) operations. There exists the problem of low data rate and high range sidelobes in an OFDM-based RadCom System using the classic pulse compression processing. To solve the problem, a signal model in which monopulse is composed of multi-OFDM symbols is presented. The analysis of pulse compression processing through ambiguity function is presented, where the effects of Doppler and random phase codes on pulse compression are discussed in detail. Theoretical analysis and simulation results show that the presented method can obviously alleviate the effects of the random phase codes on range performance of OFDM signals, while keeps high data rate.
