Abstract
In this paper, a method of parameter estimation based on Non-Circular Signal via two-dimensional ESPRIT algorithm for MIMO radar is proposed. The algorithm considers the characteristic of the maximum non-circularity signal, and utilizes not only the covariance matrix but also the pseudo-covariance matrix to obtain the data matrix of the non-circular signal. This algorithm expands the received signal data matrix by data recombination, which increases the number of effective array elements of MIMO radar and improves the utilization of echo information. Then the parameter estimates are obtained by using the two-dimensional ESPRIT algorithm. Compared with the ESPRIT algorithm developed in other references, this algorithm has higher accuracy of parameter estimation in the case of lower signal-to-noise ratio or fewer array elements. Meanwhile, the algorithm can improve the accuracy of parameter estimation when the targets are close together. Simulation results indicate that the proposed algorithm improves the performance significantly.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Fishler, E., Haimovich, A., Blum, R.S., Cimini, L.J., Chizhik, D., Valenzuela, R.A.: MIMO radar: an idea whose time has come. In: Proceedings of IEEE Radar Conference, Baton Rouge, pp. 71–78, April 2004 (2004)
Gao, C., Zhou, H., Wu, R., et al.: Parameter estimation and multi-pulse target detection of MIMO radar. In: 2016 Region 10 Conference, pp. 909–914. IEEE (2016)
Li, L., Chen, F., Dai, J.: Separate DOD and DOA estimation for bistatic MIMO radar. Int. J. Antennas Propag. 2016(3), 1–11 (2016)
Li, L., Qiu, T., Shi, X.: Parameter estimation based on fractional power spectrum density in bistatic MIMO radar system under impulsive noise environment. Circuits Syst. Signal Process. 35(9), 3266–3283 (2016)
Fayad, Y., Cao, Q.: A modified T-ESPRIT for 2-D direction of arrival estimation performance enhancement. Int. J. Model. Optim. 5(3), 166–170 (2015)
Barbaresco, F., Chevalier, P.: Noncircularity exploitation in signal processing overview and application to radar. In: IET Waveform Diversity and Digital Radar Conference, 2008(12434), pp. 1–6 (2008)
Jian, L.: Research on direction estimation algorithm of non-circular signals. National University of Defense Technology (2007)
Chargé, P., Wang, Y.D., Saillard, J.: A non-circular sources direction finding method using polynomial rooting. Signal Process. 81(8), 1765–1770 (2001)
Zoubir, A., Chargé, P., Wang, Y.: Non circular sources localization with ESPRIT. In: Proceedings of the European Conference on Wireless Technology (2003)
Haardt, M., Römer, F.: Enhancements of unitary ESPRIT for non-circular sources. In: International Conference on Acoustics, Speech and Signal Processing, II, pp. 101–104. IEEE (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Hu, J., Tian, Y., Baidoo, E., Ni, X., Zha, L. (2019). An ESPRIT Parameter Estimation Algorithm Based on Non-circular Signal for MIMO Radar. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-030-19156-6_33
Download citation
DOI: https://doi.org/10.1007/978-3-030-19156-6_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-19155-9
Online ISBN: 978-3-030-19156-6
eBook Packages: Computer ScienceComputer Science (R0)