A New Algorithm for Sparse Frequency Waveform Design with Range Sidelobes Constraint

WU Hao; SONG Zhiyong; FAN Hongqi; LI Yunxiang; FU Qiang

doi:10.1049/cje.2015.07.028

Volume 24 Issue 3

Turn off MathJax

Article Contents

Article Navigation > Chinese Journal of Electronics > 2015 > 24(3): 604-610

WU Hao, SONG Zhiyong, FAN Hongqi, et al., “A New Algorithm for Sparse Frequency Waveform Design with Range Sidelobes Constraint,” Chinese Journal of Electronics, vol. 24, no. 3, pp. 604-610, 2015, doi: 10.1049/cje.2015.07.028

Citation:

WU Hao, SONG Zhiyong, FAN Hongqi, et al., “A New Algorithm for Sparse Frequency Waveform Design with Range Sidelobes Constraint,” Chinese Journal of Electronics, vol. 24, no. 3, pp. 604-610, 2015, doi: 10.1049/cje.2015.07.028

Citation:

PDF( 432 KB)

A New Algorithm for Sparse Frequency Waveform Design with Range Sidelobes Constraint

doi: 10.1049/cje.2015.07.028

ATR, National University of Defense Technology, Changsha 410073, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61101186, No.61101179).

Received Date: 2013-12-05
Rev Recd Date: 2014-06-25
Publish Date: 2015-07-10

Abstract

Abstract

To suppress narrowband interferences, sparse frequency waveform can be transmitted by wideband radar systems. It suffers the high range sidelobes. A new algorithm for sparse frequency waveform design with range sidelobes constraint is proposed. The approach affords much better frequency stopband suppression by flexibly controlling sidelobes constraint using Weighted integrated sidelobe level (WISL) metric. The approach is computationally efficient and can suit the more general Peakto- average power ratio (PAR) constraint. An extension to Multiple-input multiple-output (MIMO) radar case is also presented.
- Cognitive radar,
- Sparse frequency waveform,
- Weighted integrated sidelobe level (WISL),
- PAR

FullText(HTML)

References(17)

References

S. Haykin, "Cognitive radar: A way of the future", IEEE Signal Processing Magazine, Vol.23, No.1, pp.30-40, 2006.

M.J. Lindenfeld, "Sparse frequency transmit and receive waveform design", IEEE Trans. Aerospace and Electronic Systems, Vol.40, No.3, pp.851-861, 2004.

W.X. Liu, Y.L. Lu and M.Lesturgie, "Optimal sparse waveform design for HFSWR system", Waveform Diversity and Design Conf., Pisa, Italy, pp.127-130, 2007.

G.H. Wang and Y.L. Lu, "Sparse frequency transmit waveform design with soft power constraint by using PSO algorithm", Proc. of IEEE Radar Conf., Rome, Italy, pp.1-4, 2008.

G.H. Wang and Y.L. Lu, "Designing single/multiple sparse frequency waveforms with sidelobe constraint", IET Radar, Sonar and Navigation, Vol.5, No.1, pp.32-38, 2011.

G.H. Wang and Y.L. Lu, "Sparse frequency waveform design for mimo radar", Progress In Electromagnetics Research B, Vol.20, pp.19-32, 2010.

G.H. Wang and Y.L. Lu, "Sparse frequency waveform design based on PSD fitting", Proc. of IEEE Int. Conf. Acoustics, Speech and Signal Processing, Prague, Czech, pp.2860-2863, 2011.

P. Stoica, H. Hao and L. Jian, "New algorithms for designing unimodular sequences with good correlation properties", IEEE Trans. Signal Processing, Vol.57, No.4, pp.1415-1425, 2009.

H. Hao, P. Stoica and L. Jian, "Designing unimodular sequence sets with good correlationsincluding an application to MIMO Radar", IEEE Trans. Signal Processing, Vol.57, No.11, pp.4391-4405, 2009.

H. Hao, L. Jian and P. Stoica, Waveform Design for Active Sensing Systems: A Computational Approach, Cambridge, UK, pp.74-87, 2012.

F. Li, Y. Zhao and X. Qiao, "Designing phase coded waveforms with zero autocorrelation zone", Acta Electronica Sinica, Vol.41, No.12, pp.2499-2502, 2013. (in Chinese)

J. Yang, L. Nie, Z. Qiu, et al., "Frequency modulated radar waveform based on sampled chaotic series", Chinese Journal of Electronics, Vol.22, No.2, pp.426-432, 2013.

M. Soltanalian, P. Stoica, "Computational design of sequences with good correlation properties", IEEE Trans. Signal Processing, Vol.60, No.5, pp.2180-2193, 2012.

J.A. Tropp, I.S. Dhillon, R.W. Heath, et al., "Designing structured tight frames via an alternating projection method", IEEE Trans. Inf. Theory, Vol.51, No.1, pp.188-209, 2005.

E. Fishler, A. Haimovich, R. Blum, et al., "MIMO radar: an idea whose time has come", Proc. of IEEE Radar Conf., Newark, USA, pp.71-78, 2004.

L. Jian and P. Stoica, "MIMO radar with colocated antennas", IEEE Signal Processing Magazine, Vol.24, No.5, pp.106-114, 2007.

Y. Wang, L. Dong, X. Xue and K. Yi, "On the design of constant modulus sequences with low correlation sidelobes levels", IEEE Communications Letters, Vol.16, No.4, pp.462-425, 2012.

Relative Articles

Supplements(0)

Cited By

Proportional views