RANDOM RADIATION SOURCE OPTIMIZATION METHOD FOR MICROWAVE STARING CORRELATED IMAGING BASED ON TEMPORAL-SPATIAL RELATIVE DISTRIBUTION ENTROPY

Microwave Staring Correlated Imaging (MSCI) is a high-resolution radar imaging modality, whose resolution is mainly determined by the randomness of radiation source. To optimize the design of random radiation source, a novel concept of temporal-spatial relative distribution entropy (TSRDE) is proposed to describe the temporal-spatial stochastic characteristics of radiation source. The TSRDE can be utilized as the optimization criterion to design the array configuration and signal parameters by means of optimization algorithms. In this paper the genetic algorithm is applied to search for the best design. Numerical simulations are performed and the results show that the TSRDE is an effective method to characterize the randomness of radiation source, and the source parameters optimized by this method can dramatically improve the imaging resolution.

[1]  Raphaël Cerf,et al.  The quasispecies regime for the simple genetic algorithm with roulette wheel selection , 2015, Advances in Applied Probability.

[2]  Xiang Li,et al.  Three Dimensional Radar Coincidence Imaging , 2013 .

[3]  Gabriel Lellouch,et al.  Multi-carrier Based Radar Signal Optimization Using Genetic Algorithm , 2013, SocProS.

[4]  Xiang Li,et al.  Radar Coincidence Imaging: an Instantaneous Imaging Technique With Stochastic Signals , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[5]  David S. Simonett,et al.  Remote Sensing with imaging radar: a review , 1970 .

[6]  A. Massa,et al.  LOCATION AND IMAGING OF TWO-DIMENSIONAL SCATTERERS BY USING A PARTICLE SWARM ALGORITHM , 2004 .

[7]  Remote Sensing & Imaging , 2002 .

[8]  Shitao Zhu,et al.  Radar Coincidence Imaging With Random Microwave Source , 2015, IEEE Antennas and Wireless Propagation Letters.

[9]  Xiaoli Zhou,et al.  Radar Coincidence Imaging for Off-Grid Target Using Frequency-Hopping Waveforms , 2016 .

[10]  P. Rocca,et al.  Iterative multi-resolution retrieval of non-measurable equivalent currents for the imaging of dielectric objects , 2009 .

[11]  Dongjin Wang,et al.  A novel super-resolution imaging method based on stochastic radiation radar array , 2013 .

[12]  Bo Liu,et al.  Microwave Staring Correlated Imaging and Resolution Analysis , 2013, GRMSE.

[13]  P. Millot,et al.  MIMO antenna design with genetic algorithm for TTW radar imaging , 2012, 2012 9th European Radar Conference.

[14]  Mark R. Bell.  Information theory and radar waveform design , 1993, IEEE Trans. Inf. Theory.

[15]  Yuanyue Guo,et al.  Research on sensing matrix characteristics in microwave staring correlated imaging based on compressed sensing , 2014, 2014 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings.

[16]  Yang Luo,et al.  MIMO-OTHR Waveform Optimization Based on the Mutual Information Theory , 2016 .

[17]  Dongjin Wang,et al.  Orthogonal Radiation Field Construction for Microwave Staring Correlated Imaging , 2017 .

[18]  Qilian Liang,et al.  Radar sensor network for target detection using Chernoff information and relative entropy , 2014, Phys. Commun..

[19]  Yongqiang Cheng,et al.  Effect analysis and design on array geometry for coincidence imaging radar based on effective rank theory , 2016, ISPRS International Conference on Computer Vision and Remote Sensing.

[20]  Massimo Donelli,et al.  A three-dimensional time domain microwave imaging method for breast cancer detection based on an evolutionary algorithm , 2011 .

[21]  K. Paulsen,et al.  Nonlinear Microwave Imaging for Breast-Cancer Screening Using Gauss–Newton's Method and the CGLS Inversion Algorithm , 2007, IEEE Transactions on Antennas and Propagation.

[22]  Dale A. Ausherman,et al.  Developments in Radar Imaging , 1984, IEEE Transactions on Aerospace and Electronic Systems.

[23]  Andrea Massa,et al.  Inversion of Phaseless Total Field Data Using a Two-Step Strategy Based on the Iterative Multiscaling Approach , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[24]  Anupam Shukla,et al.  Mathematical analysis of schema survival for genetic algorithms having dual mutation , 2018, Soft Comput..

[25]  Yingning Peng,et al.  MIMO Radar Waveform Design in Colored Noise Based on Information Theory , 2010, IEEE Transactions on Signal Processing.