Abstract

As a newly proposed high resolution computational imaging technique, Microwave Staring Correlated Imaging (MSCI) requires elaborate design of the temporal-spatial stochastic radiation fields (TSSRF). Conventional implementation of MSCI radiation source consists of multiple transmitters configuration and simultaneous emitting scheme, which remains underutilization of the available design resources. In this paper, a time-division MSCI (TD-MSCI) method is proposed to virtually generate the TSSRF and make further use of the available design resources. Different from convention simultaneously transmitting based MSCI, the detection scheme in TD-MSCI is achieved by alternately transmitting of each transmitter, rather than simultaneous transmission of multiple transmitters. Echo enhancement is conducted to improve the SNR level of the echo waveform and to resolve the power coastdown caused by single transmitting scheme. Unused combinations of existing resources are digitally synthesized in computer rather than taking extra observations in actual physical environment. After the processing of time division observation, echo enhancement and digital waveform synthesis, extending TSSRF with better stochastic characteristics are generated, and improved imaging performance is obtained. Numerical imaging experiments and preliminary real-world imaging experiment verify the effectiveness of the proposed TD-MSCI, demonstrating that the proposed method increases the flexibility in radiation source design and decreases the detection costs.

Highlights

  • Inspired by optical Ghost Imaging (GI) [1,2], Microwave Staring Correlated Imaging (MSCI) is a newly proposed high resolution microwave computational imaging technique, where the radar system is usually carried on a stationary or quasi-stationary platform [3,4]

  • We propose a Time-Division MSCI (TD-MSCI) method to “virtually”, rather than physically generate the temporal-spatial stochastic radiation fields (TSSRF), and make further use of the available resources in radiation source design

  • The time division observation can be implemented either by alternately transmitting of multiple transmitters or via single transmitter with changing positions, and the digital waveform synthesis is conducted in computer rather than in actual physical environment, namely the stochastic radiation fields are virtually generated, which significantly increases flexibility in radiation source design and decreases the detection costs compared with simultaneously transmitting based MSCI

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Summary

Introduction

Inspired by optical Ghost Imaging (GI) [1,2], Microwave Staring Correlated Imaging (MSCI) is a newly proposed high resolution microwave computational imaging technique, where the radar system is usually carried on a stationary or quasi-stationary platform [3,4]. To implement the pre-designed TSSRF in the region of interest, a multi-transmitters architecture where multiple transmitters simultaneously emit randomly modulated waveforms is commonly adopted in MSCI, which requires elaborate designs of the Random Radiation Source (RRS). Though opitimization methods on stochastic waveform design and transmitting array design can be used to improve the property of the TSSRF and the imaging matrix, some defects are introduced into MSCI by the simultaneous emitting scheme at the same time. Once the design of radiation source is optimized, for example, the array configurations and waveform parameters such as hopping frequency sequences in random FH based MSCI are optimized, the TSSRF are determined. Different from conventional MSCI where all transmitters simultaneously radiate electromagnetic waves, the proposed TD-MSCI utilizes an alternate time-division observation scheme of each single transmitter to detect the imaging targets.

Formulation and Imaging Performance of MSCI
Time-Division Scheme of MSCI
Time Division Observation
Echo Enhancement
Digital Waveform Synthesis
Target Reconstruction
Comparison Experiment with the Same Frequency Hopping Sequences
Imaging of TD-MSCI with Further Optimized Parameters
Imaging Experiment of TD-MSCI in Microwave Anechoic Chamber
Conclusions
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