Random Radiation Source Optimization Method for Microwave Staring Correlated Imaging Based on Temporal-Spatial Relative Distribution Entropy

Meng, Qingduan; Qian, Tingting; Yuan, Bo; Wang, and Dongjin

doi:10.2528/pierm17092902

Cited by 7 publications

(6 citation statements)

References 23 publications

(37 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence, the waveform design is to optimize the amplitude sequence and phase sequence designs of the multiple transmitters at different frequencies. Meanwhile, recent research has indicated that random array configuration of multiple transmitters contributes to the improvement of the imaging matrix property compared with uniform array configuration [25]. Thus, the array configuration optimization should also be considered to further improve the imaging result.…”

Section: Waveform Design and Array Configuration Optimization Of The mentioning

confidence: 99%

“…An optimization algorithm was adopted to acquire a well-behaved frequency code design of the FH signals based on minimizing the condition number of the sensing matrix [24]. Temporal-Spatial Distribution Entropy (TSDE) was proposed in [25] as the optimization target of the joint design of waveform parameters and array configuration. A novel bistatic MSCI architecture was presented in [26] to observe the targets from larger aspect angles and to form TSSRF with better stochastic feature.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Microwave Staring Correlated Imaging Method Based on Steady Radiation Fields Sequence

Zhang

Yuan

Jiang

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

Microwave Staring Correlated Imaging (MSCI) is a newly proposed computational high-resolution imaging technique. The imaging performance of MSCI with the existence of modeling errors depends on the properties of the imaging matrix and the relative perturbation error resulted from existing errors. In conventional transient-radiation-fields-based MSCI, which is commonly accomplished by utilizing random frequency-hopping (FH) waveforms, the multiple transmitters should be controlled individually and simultaneously. System complexity and control difficulty are hence increased, and various types of modeling errors are introduced as well. The computation accuracy of radiation fields is heavily worsened by the modeling errors, and the transient effect makes it hard to take direct and high-precision measurements of the radiation fields and calibrate the modeling errors with the measuring result. To simplify the system complexity and reduce error sources, in this paper, steady-radiation-fields-sequence-based MSCI (SRFS-MSCI) method is proposed. The multiple transmitters are excited with coherent signals at the same observation moment, with the signal frequency varying in the whole frequency band during the imaging process. By elaborately designing the array configuration and the amplitude and phase sequences of the coherent transmitters, the SRFS-MSCI is thus implemented. Comparing the system architecture of the proposed SRFS-MSCI with the conventional random FH-based MSCI, it can be found that the proposed method significantly reduces the number of baseband modules and simplifies the system architecture and control logic, which contributes to reducing error sources such as baseband synchronization errors and decreasing deterioration caused by error cascade. To further optimize the design parameters in the proposed SRFS-MSCI system, the Simulated Annealing (SA) algorithm is utilized to optimize the amplitude sequences, the phase sequences, and the antenna positions individually and jointly. Numerical imaging experiments and real-world imaging experiment demonstrate the effectiveness of the proposed SRFS-MSCI method that recognizable high-resolution recovery results are obtained with simplified system structure and optimized system parameters.

show abstract

Section: Waveform Design and Array Configuration Optimization Of The mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Microwave Staring Correlated Imaging Method Based on Steady Radiation Fields Sequence

Zhang

Yuan

Jiang

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition to waveform design, optimizing the design of the transmitting array also contributes to improving stochastic characteristic of TSSRF. Temporal-Spatial Distribution Entropy (TSDE) was proposed in Reference [14] as the optimization target of the array configuration design. A novel bi-static MSCI architecture was presented in Reference [15] to observe the targets from larger aspect angles and to form TSSRF with better stochastic features.…”

Section: Introductionmentioning

confidence: 99%

Microwave Staring Correlated Imaging Based on Time-Division Observation and Digital Waveform Synthesis

et al. 2020

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…In addition to the waveform design, optimizing the element design and the layout of the array elements can also improve the stochastic characteristic of the TSSRF. Reference [ 21 ] proposed the temporal–spatial distribution entropy (TSDE) as the optimization target to optimize the elements’ layout. It is shown that the effective rank of the TSSRF matrix increases as the TSDE increases.…”

Section: Introductionmentioning

confidence: 99%

A Novel Microwave Staring Correlated Radar Imaging Method Based on Bi-Static Radar System

Yuan

Guo

Chen

et al. 2019

Sensors

Self Cite

View full text Add to dashboard Cite

The stochastic characteristic of the radiation field of a mono-static microwave staring correlated imaging (MSCI) radar degenerates with the increase of the imaging distance, which results in degradation of the image quality. To address this issue, a novel MSCI method based on bi-static radar is proposed from two perspectives: site-deploying and waveform design. On the one hand, a new bi-static MSCI site-deploying scheme is proposed which adopts two transmitting stations with their azimuth angles relative to the center of the imaging region differing by 90 degrees. On the other hand, by using two transmitting arrays synchronously transmitting inner-and-inter pulse frequency hopping (IAIP-FH) signals, the radiation field of each station includes a few “frequency stripes” perpendicular to the radiation direction, and as a consequence, the “frequency stripes” of each radiation field are perpendicular to each other. As a result, the radiation field of the bi-static MSCI is the superposition of the two striped radiation fields, thus a latticed radiation field is constructed. Therefore, the targets in different latticed grids scatter independent fields, then, the images can be reconstructed using correlation process (CP) algorithms. The grid size of the latticed radiation field is determined by the inner-pulse frequency hopping (FH) interval of the IAIP-FH signals and the imaging geometry. Moreover, it is shown that the 3 dB beam width of the space correlation function of the radiation field does not change with the imaging distance, thus the stochastic characteristic of the radiation field is partly preserved when the imaging distance increases. Simulation results validate the analysis and show that the proposed method can obtain higher resolution images than the common mono-static MSCI method.

show abstract

Random Radiation Source Optimization Method for Microwave Staring Correlated Imaging Based on Temporal-Spatial Relative Distribution Entropy

Cited by 7 publications

References 23 publications

Microwave Staring Correlated Imaging Method Based on Steady Radiation Fields Sequence

Microwave Staring Correlated Imaging Method Based on Steady Radiation Fields Sequence

Microwave Staring Correlated Imaging Based on Time-Division Observation and Digital Waveform Synthesis

A Novel Microwave Staring Correlated Radar Imaging Method Based on Bi-Static Radar System

Contact Info

Product

Resources

About