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

Qingquan Meng | Zendy; Tingting Qian | Zendy; Bo Yuan | Zendy; Dongjin Wang | Zendy

Open Access

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

Author(s) -

Qingquan Meng,

Tingting Qian,

Bo Yuan,

Dongjin Wang

Publication year - 2018

Publication title -

progress in electromagnetics research m

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.216

H-Index - 31

ISSN - 1937-8726

DOI - 10.2528/pierm17092902

Subject(s) - staring , cosmic microwave background , microwave , kullback–leibler divergence , statistical physics , entropy (arrow of time) , microwave imaging , radiation , physics , optics , mathematics , statistics , quantum mechanics , anisotropy

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.

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