Microwave Staring Correlated Imaging and Resolution Analysis

Ma, Yue; He, Xin; Meng, Qingduan; Liu, Bo; Wang, Dongjin

doi:10.1007/978-3-642-45025-9_72

Cited by 13 publications

(18 citation statements)

References 5 publications

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“…Different from these methods above, Microwave Staring Correlated Imaging (MSCI) is a newly proposed high resolution radar imaging modality [7][8][9][10]. By transmitting temporal-spatial stochastic radiation field (TSSRF) and correlating the received signals and TSSRF, MSCI could achieve highresolution imaging results while its platform remains stationary.…”

Section: Introductionmentioning

confidence: 99%

“…The resolution of MSCI depends on the orthogonality of TSSRF [9], thus to obtain high resolution imaging results we should optimize the design of microwave random source. In recent years, several efficient methods to construct the random microwave source are proposed.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, several efficient methods to construct the random microwave source are proposed. The pseudo-random gold sequence is used as the emitting signals in [7][8][9]. The zero-mean Gaussian noise is utilized to modulate the frequency, phase and amplitude in [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…Different from traditional radar system, in MSCI the array configuration and the signal parameters must be stochastic to radiate the TSSRF. The methods to describe the randomness of stochastic radiation field have been deeply studied in [9,15]. However, to the best of our knowledge, the feasible method that can quantitatively characterize the random performance of the radiation source have not been investigated.…”

Section: Introductionmentioning

confidence: 99%

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

Meng¹,

Qian²,

Yuan³

et al. 2018

PIER M

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Abstract-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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Meng¹,

Qian²,

Yuan³

et al. 2018

PIER M

Self Cite

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“…By transmitting spatial-temporal stochastic radiation field, and correlation processing of the received signals which spatially modulated by the targets, MSCI could achieve highresolution imaging while its platform remains stationary [3].…”

Section: Introductionmentioning

confidence: 99%

Correlation algorithm of Microwave Staring correlated imaging based on multigrid and CGLS

Meng

Liu

Tian

et al. 2015

2015 IEEE International Conference on Communication Problem-Solving (ICCP)

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This paper focuses on the correlation algorithm to realize high-resolution microwave staring correlated imaging (MSCI) in condition of large imaging area. Firstly, the imaging model applied in remote sensing is established, and the reduction of resolution caused by large imaging area is analysed. To solve the problem, we use multigrid (MG) method to solve the imaging equation in different scales, which can decrease the error of iteration. Furthermore, we apply the conjugate gradient least squares (CGLS) as iterative algorithm to solve the large scale equation. We name the new correlation algorithm as MG-CGLS. Simulation results show that MG-CGLS can increase the resolution in condition of large imaging area compared with existing correlation algorithm.

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The signal-to-noise ratio analysis of coronal plane microwave correlation imaging based on azimuth one-dimensional array

et al. 2019

Journal of Electromagnetic Waves and Applications

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Microwave Staring Correlated Imaging and Resolution Analysis

Cited by 13 publications

References 5 publications

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

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

Correlation algorithm of Microwave Staring correlated imaging based on multigrid and CGLS

The signal-to-noise ratio analysis of coronal plane microwave correlation imaging based on azimuth one-dimensional array

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