On Orthogonal Waveform Design for MIMO Radar

Article Preview

Abstract:

MIMO radar system that transmits orthogonal waveforms is an emerging technology that has significant application potential. Compared to traditional phased-array radar, orthogonal transform waveform can bring many advantages. In this paper, we present a novel binary phase code sequence suitable for orthogonal design. This phase code sequence is computationally efficient compared to other algorithms previously proposed in the literature. We provide some numerical examples to demonstrate the performances of the coded pulse signal.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 181-182)

Pages:

422-428

Citation:

Online since:

January 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] N. Levanon and E. Mozeson, Radar signals. Wiley-IEEE Press, (2004).

Google Scholar

[2] M. Bell, Information theory and radar waveform design, IEEE Transactions on Information Theory, vol. 39, no. 5, p.1578–1597, (1993).

DOI: 10.1109/18.259642

Google Scholar

[3] D. Albanese, A. Klein, and I. Gilfillan, Pseudorandom code waveform design for CW radar, IEEE Transactions on Aerospace and Electronic Systems, p.67–75, (1979).

DOI: 10.1109/taes.1979.308797

Google Scholar

[4] J. Li and P. Stoica, MIMO radar with colocated antennas, IEEE Signal Processing Magazine, vol. 24, no. 5, p.106–114, (2007).

DOI: 10.1109/msp.2007.904812

Google Scholar

[5] A. Haimovich, R. Blum, and L. Cimini, MIMO radar with widely separated antennas, IEEE Signal Processing Magazine, vol. 25, no. 1, p.116–129, (2008).

DOI: 10.1109/msp.2008.4408448

Google Scholar

[6] D. Fuhrmann and G. San Antonio, Transmit beamforming for MIMO radar systems using partial signal correlation, in Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on, vol. 1, (2004).

DOI: 10.1109/acssc.2004.1399140

Google Scholar

[7] P. Stoica, J. Li, and X. Zhu, Waveform synthesis for diversity-based transmit beampattern design, IEEE Transactions on Signal Processing, vol. 56, no. 6, p.2593–2598, (2008).

DOI: 10.1109/tsp.2007.916139

Google Scholar

[8] Y. Yang and R. Blum, MIMO radar waveform design based on mutual information and minimum mean-square error estimation, IEEE Transactions on Aerospace and Electronic Systems, vol. 43, no. 1, p.330–343, (2007).

DOI: 10.1109/taes.2007.357137

Google Scholar

[9] B. Friedlander, Waveform design for MIMO radars, IEEE Transactions on Aerospace and Electronic Systems, vol. 43, no. 3, p.1227–1238, (2007).

DOI: 10.1109/taes.2007.4383615

Google Scholar

[10] H. Deng, Polyphase code design for orthogonal netted radar systems, IEEE Transactions on Signal Processing, vol. 52, no. 11, p.3126–3135, (2004).

DOI: 10.1109/tsp.2004.836530

Google Scholar

[11] H. Khan, Y. Zhang, C. Ji, C. Stevens, D. Edwards, and D. O'Brien, Optimizing polyphase sequences for orthogonal netted radar, IEEE Signal Processing Letters, vol. 13, no. 10, p.589–592, (2006).

DOI: 10.1109/lsp.2006.877143

Google Scholar

[12] H. He, P. Stoica, and J. Li, Designing unimodular sequence sets with good correlationsłIncluding an application to MIMO radar, IEEE Trans. Signal Process, vol. 57, p.4391–4405, (2009).

DOI: 10.1109/tsp.2009.2025108

Google Scholar

[13] E. Dinan and B. Jabbari, Spreading codes for direct sequence CDMA and wideband CDMA cellularnetworks, IEEE communications magazine, vol. 36, no. 9, p.48–54, (1998).

DOI: 10.1109/35.714616

Google Scholar

[14] B. Sklar, Rayleigh fading channels in mobile digital communication systems. I. Characterization, IEEE Communications Magazine, vol. 35, no. 7, p.90–100, (1997).

DOI: 10.1109/35.601747

Google Scholar