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.
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References
Sturm, C., Wiesbeck, W.: Waveform design and signal processing aspects for fusion of wireless communications and radar sensing. Proc. IEEE 99, 1236–1259 (2011)
Levanon, N.: Multifrequency complementary phase-coded radar signal. IEE Proc. Radar Sonar Navig. 147, 276–284 (2000)
Huo, K., Deng, B., Liu, Y., Jiang, W., Mao, J.: High resolution range profile analysis based on multicarrier phase-coded waveforms of OFDM radar. J. Syst. Eng. Electron. 22, 421–427 (2011)
Garmatyuk, D., Schuerger, J., Morton, Y.T., Binns, K., Durbin, M., Kimani, J.: Feasibility study of a multi-carrier dual-use imaging radar and communication system. In: European Radar Conference, Munich, pp. 194–197. IEEE Press (2007)
Donnet, B.J., Longstaff, I.D.: Combining MIMO radar with OFDM communications. In: European Radar Conference, Manchester, pp. 37–40. IEEE Press (2006)
Franken, G.E., Nikookar, H., Van, G.P.: Doppler tolerance of OFDM-coded radar signals. In: European Radar Conference, Manchester, pp. 108–111. IEEE Press (2006)
Huo, K., Zhao, J.: The development and prospect of the new OFDM radar. J. Electron. Inf. Technol. 37, 2776–2789 (2015)
Liu, Y., Liao, G., Yang, Z., Xu, J.: A super-resolution design method for integration of OFDM radar and communication. J. Electr. Syst. Inf. Technol. 02, 425–433 (2016)
Turlapaty, A., Jin, Y., Xu, Y.: Range and velocity estimation of radar targets by weighted OFDM modulation. In: IEEE Radar Conference, Cincimnati, pp. 1358–1362. IEEE Press (2014)
Lellouch, G., Mishra, A., Inggs, M.: Impact of Doppler modulation on the range and Doppler processing in OFDM radar. In: IEEE Radar Conference, Cincimnati, pp. 1–4. IEEE Press (2014)
Gu, J.F., Moghaddasi, J., Wu, K.: Delay and Doppler shift estimation for OFDM-based radar-radio (RadCom) system. In: 2015 IEEE International Wireless Symposium, Shenzhen, pp. 1–4. IEEE Press (2015)
Yang, X., Song, Z., Lu, Z., Fu, Q.: A novel range-Doppler imaging algorithm with OFDM radar. J. Chin. Aeronaut. 29, 492–501 (2016)
Tigrek, R., Heij, D., Genderen, V.: OFDM signals as the radar waveform to solve Doppler ambiguity. J. IEEE AES 48, 130–143 (2012)
Ying, S., He, Z., Liu, H., Li, J., Gao, S.: Binary orthogonal code design for MIMO radar systems. In: International Symposium on Intelligent Signal Processing and Communication Systems, Chengdu, pp. 1–4. IEEE Press (2010)
Acknowledgment
This paper was supported by the Natural Science Foundation of China (NSFC) under Grant No. 91638204 and the Natural Science Foundation of Shenzhen under Grant No. JCYJ20160531192013063.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Tian, X., Zhang, T., Zhang, Q., Xu, H., Song, Z. (2018). Pulse Compression Analysis for OFDM-Based Radar-Radio Systems. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_42
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DOI: https://doi.org/10.1007/978-3-319-73447-7_42
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