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A New Stochastic Radiation Antenna Array Based on Frequency Hopping with Different Chip-Rates

Abstract— In order to enhance its temporal–spatial stochastic characteristics of stochastic radiation fields, a new microwave staring correlated imaging method based on random frequency hopping with different chiprates (MSCI-RFH-DCR) is proposed, which is characterized that microwave pulse signals emitted respectively by different elements of stochastic radiation radar array (SRRA) have the same pulse periods and repetition frequencies, however, each pulse contains multiple chips of random frequency hopping with different chip-rates and orthogonal frequency hopping patterns each other. The imaging model is established, then the process of stochastic radiation fields excitated by the SRRA with random frequency hopping with different chip-rates in the target observation area is investigated in detail, meanwhile its temporal–spatial stochastic characteristics is analyzed; Finally, numerical simulations is demonstrated that compared with random frequency hopping with the same chip-rates, the present method can achieve better temporal–spatial stochastic characteristics of stochastic radiation fields in the condition of limited signal bandwidth and lower chip-rates of frequency hopping, and by the low-speed sampling of scattered echo signals, a high-resolution microwave imaging can be obtained, which can reduce the cost and complexity of imaging system.

Index Terms— microwave staring correlated imaging, random frequency hopping with different chip-rates, temporal–spatial stochastic characteristics of radiation fields, super-resolution

Yuanyue Guo
Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences,CHINA
Dongjin Wang
University of Science and Technology of China, CHINA
Yong-Sheng Zhou
Academy of Opto-Electronics, Chinese Academy of Sciences, CHINA

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Cite: Yuanyue Guo, Dongjin Wang, Yong-Sheng Zhou, "A New Stochastic Radiation Antenna Array Based on Frequency Hopping with Different Chip-Rates," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 420-425, Tokyo, 17-19 June, 2016.