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Frontiers of Electrical and Electronic Engineering

ISSN 2095-2732

ISSN 2095-2740(Online)

CN 10-1028/TM

Front Elect Electr Eng Chin    2009, Vol. 4 Issue (2) : 134-140    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
National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
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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).

Keywords waveform design      broadband radar      mutual information      target recognition     
Corresponding Author(s): JIU Bo,Email:bojiu@mail.xidian.edu.cn   
Issue Date: 05 June 2009
 Cite this article:   
Bo JIU,Hongwei LIU,Liya LI, et al. A method of waveform design based on mutual information[J]. Front Elect Electr Eng Chin, 2009, 4(2): 134-140.
 URL:  
https://academic.hep.com.cn/fee/EN/10.1007/s11460-009-0035-9
https://academic.hep.com.cn/fee/EN/Y2009/V4/I2/134
Fig.1  Simplified transmit-receiver model of essential features.
Fig.2  PSD of noise
Fig.3  PSD of clutter
Fig.4  Spectral variance of target frequency response
Fig.5  PSD of the waveform optimized by GWF
Fig.6  Comparison of three transmitted signals
Fig.7  PSD of waveform optimized by GWF
without filterwith filter
target 1target 2target 3averagetarget 1target 2target 3average
chirp47.7044.6544.3545.5770.6072.3069.7070.87
waveform optimized by GWF56.6556.8252.5355.3387.8086.5886.2886.89
waveform optimized by WF49.2049.4044.5047.7074.1075.2076.0075.10
Tab.1  Recognition rates of three transmitted signals with energy /%
without filterwith filter
target 1target 2target 3averagetarget 1target 2target 3average
chirp73.6069.0072.0071.5393.8092.5091.5092.60
waveform optimized by GWF77.2373.4273.2574.6396.2595.9095.5295.89
waveform optimized by WF74.0068.4372.5271.6592.3392.1793.8892.79
Tab.2  Recognition rates of three transmitted signals with energy/%
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