Frontiers of Electrical and Electronic Engineering >

2009 , Vol. 4 >Issue 2: 134 - 140

DOI: https://doi.org/10.1007/s11460-009-0035-9

RESEARCH ARTICLE

A method of waveform design based on mutual information

  • Bo JIU ,
  • Hongwei LIU ,
  • Liya LI ,
  • Shunjun WU
Expand
  • National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

Published date: 05 Jun 2009

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
Fold

Abstract

A novel method called the general water-filling, which is suitable when clutter is not negligible, is proposed to solve the waveform design problem of broadband radar for the recognition of multiple extended targets. The uncertainty of the target’s radar signatures is decreased via maximizing the mutual information between a random extended target and the received signal. Then, the general water-filling method is employed to the waveform design problem for multiple extended targets identification to increase the separability of multiple targets. Experimental results evaluated the efficiency of the proposed method. Compared to chirp signal and water-filling signal, our method improves the classification rates and even performs better at low signal-to-interference-plus-noise ratio (SINR).

Key words： waveform design; broadband radar; mutual information; target recognition

Cite this article

Bo JIU , Hongwei LIU , Liya LI , Shunjun WU . A method of waveform design based on mutual information[J]. Frontiers of Electrical and Electronic Engineering, 2009 , 4(2) : 134 -140 . DOI: 10.1007/s11460-009-0035-9

References

Publishing order | Descend order by publishing year | Descend order by cited within
1
Haykin S. Cognitive radar: a way of the future. IEEE Signal Processing Magazine, 2006, 23(1): 30–0

DOI

2
Bell M R. Information theory and radar waveform design. IEEE Transactions on Information Theory, 1993, 39(5): 1578–1597

DOI

3
Pillai S U, Oh H S, Youla D C, Guerci J R. Optimum transmit-receiver design in the presence of signal-dependent interference and channel noise. IEEE Transactions on Information Theory, 2000, 46(2): 577–584

DOI

4
Garren D A, Osborn M K, Odom A C, Goldstein J S, Pillai S U, Guerci J R. Enhanced target detection and identification via optimised radar transmission pulse shape. IEE Proceedings — Radar, Sonar and Navigation, 2001, 148(3): 130–138

DOI

5
Guerci J R, Pillai S U. Adaptive transmission radar: the next ‘wave’?In: Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. Dayton, OH, USA: IEEE, 2000: 779–786

6
Leshem A, Naparstek O, Nehorai A. Information theoretic adaptive radar waveform design for multiple extended targets. IEEE Journal of Selected Topics in Signal Processing, 2007, 1(1): 42–55

DOI

7
Zhen Y M. Study on new motion compensation methods for SAR/ISAR imaging. Dissertation for the Doctoral Degree. Xi’an: Xidian University, 2000 (in Chinese)

8
Xing M D, Bao Z. A new method for the range alignment in ISAR imaging. Journal of Xidian University, 2000, 27(1): 93–96 (in Chinese)

9
Berger T. Rate Distortion Theory. Englewood Cliffs, NJ: Prentice-Hall, 1971

Options
Outlines

/

〈 〉