Polarimetric Calibration Based on Lexicographic-Basis Decomposition

Lin, Jianzhi; Guo, Yongqiang; Li, Weixing; Zhang, Yue; Chen, Zengping

doi:10.1109/lgrs.2016.2574749

Cited by 5 publications

(5 citation statements)

References 15 publications

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“…) When the amplitude of k is constant, (10) suggests that ϕ k does not affect the real eigenvalues of [O]. The detailed derivation is given in the Appendix.…”

Section: B H/ᾱ Decompositionmentioning

confidence: 99%

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A Bragg-Like Point Extraction Method for Co-polarization Channel Imbalance Calibration

Zhao

Deng

Guo

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Calibration by distributed targets is an important part of polarimetric calibration (PolCAL) without corner reflectors (CRs). Currently, both the correlation of HH and VV (R hhvv ) and the equivalent number of looks (ENL) constitute the common method for the extraction of Bragg-like points (BLPs) in order to calibrate the co-polarization channel imbalance k. However, strict assumptions about distributed targets and complex mathematical expressions regarding ENL limit the impact analysis of k on R hhvv and ENL; thus, the fixed thresholds for R hhvv and ENL can be obtained only by comparing the calibration errors with the CRs or simulated values in order to calibrate k accurately. In some Earth observation and lunar exploration without CRs, the above conditions are not satisfied. In this article, a BLP extraction method is proposed for calibrating co-polarization channel imbalance k in PolCAL. H/ ᾱ decomposition is utilised to deduce the specific scattering impacts of BLPs by different k values first. Then, a dynamic selection method is proposed to reduce the influence of fixed thresholds and improve the extraction accuracy. Multi-scene polarimetric synthetic aperture radar (PolSAR) images from AIRSAR, ALOS, and GF-3 are utilised to verify the effectiveness of the proposed algorithm in the extraction of BLPs and the calibration results of k obtained by applying the extracted BLPs (ext. BLPs).

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“…) When the amplitude of k is constant, (10) suggests that ϕ k does not affect the real eigenvalues of [O]. The detailed derivation is given in the Appendix.…”

Section: B H/ᾱ Decompositionmentioning

confidence: 99%

“…This appendix presents the corresponding mathematical derivation process. Since we consider the amplitude and phase of k separately, (10) can be rewritten as…”

Section: Appendixmentioning

confidence: 99%

A Bragg-Like Point Extraction Method for Co-polarization Channel Imbalance Calibration

Zhao

Deng

Guo

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…There are several approaches to calibration, such as singular decomposition or lexicographic decomposition, which are described in [ 37 , 38 ]. The calibration of our measurements was performed for a corner reflector [ 39 , 40 ].…”

Section: Data and Calibrationmentioning

confidence: 99%

Backscattering Analysis at ATR on Rough Surfaces by Ground-Based Polarimetric Radar Using Coherent Decomposition

Kvasnov

2023

Sensors

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This article deals with the analysis of backscattering at automatic target recognition (ATR) by ground-based radar located on rough terrain surfaces, using the properties of wave polarization. The purpose of the study is to examine and compare linear and circular polarized reflected waves, which can be described by decomposition theorems. Coherent decompositions (Pauli, Krogager, Cameron decomposition) are considered in the case of a rough terrain, for which the advantage of the Pauli decomposition has been shown. The article demonstrates an approach to the extraction of polarization signal backscattering data for two types of vehicles with different profiles. It is shown that the measurement results can be calibrated by a corner reflector that takes into account the properties of the ground surface, and further used for ATR based on supervised learning algorithms. The accuracy of object classification was 68.1% and 54.2% for the signal generated by linearly and elliptically polarized waves, respectively. Based on these results, we recommend using a linearly polarized wave as an object recognition mechanism. At the same time, any reflected depolarized wave significantly reshapes the structure due to the rotation of the object profile and the influence of a rough surface (vegetation fluctuations). This explains the low recognition accuracy in general.

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“…active [10]- [17] polarimetric calibration. The passive polarimetric calibrators involve corner reflectors, metal balls and cylinders, and so on.…”

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confidence: 99%

“…In [11] and [12], the delay line is added to the transceiver circuit of the PARC, which separates the background from the target to improve the signal-to-noise ratio (SNR) of the receive signal. The PARC with independent rotatable double antenna was proposed in [15]- [17]. A variety of PSMs can be obtained by means of flexible combination of antenna polarization modes, which provides many options for polarimetric calibration methods.…”

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confidence: 99%

Calibration of a Polarimetric MIMO Array With Horn Elements for Near-Field Measurement

Kong

2020

IEEE Trans. Antennas Propagat.

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Polarimetric multiple input and multiple output (MIMO) radar is capable of acquiring target's high-resolution images and polarization scattering matrix (PSM). In this article, calibration of a polarimetric MIMO array of an instrumentation radar for near-field measurement is achieved at X-band by using a rotatable double-antenna polarimetric active radar calibrator (RODAPARC) and a metal cylinder quickly and accurately. The theoretical PSM of the RODAPARC with different antenna rotation angles is derived from Huygens' radiation electric field which is applicable to different bistatic angles. A polarimetric signal model is adopted to reduce the impact of the RODAPARC on calibration. Experimental studies are conducted on a polarimetric MIMO array which is measured and divided into quasi-monostatic and bistatic transceiver channels for assessment on the calibration performance. Promising calibration results are obtained with a polarization isolation improvement of about 16 dB and great reduction of the polarization channel gain error less than ±0.5 dB in amplitude and ±3 • in phase. The calibrated polarization signatures for classic objects are consistent with the theoretical results. Index Terms-Multiple input and multiple output (MIMO) radar, polarimetric active radar calibrator (PARC), polarimetric calibration. I. INTRODUCTIONW ITH the explosive development of multiple input and multiple output (MIMO) technology, more and more MIMO radars have been presented in [1]-[6]. MIMO is an enabling technique capable of imaging a target using only one snapshot [6], which is different from rail synthetic aperture radar (SAR) and turntable inverse synthetic aperture radar (ISAR). Polarimetric MIMO radar images the target rapidly, while also providing the polarization scattering matrix (PSM) of the target. Crosstalk and polarization channel gain error distort the receive signal in polarimetric radars. This distortion will be more serious for polarimetric MIMO radars in terms of multiple transceiver channels. Therefore, polarimetric calibration serves an important role in polarimetric MIMO radars.According to the different polarimetric calibrators, polarimetric calibration can be divided into passive [7]-[9] and Manuscript

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Polarimetric Calibration Based on Lexicographic-Basis Decomposition

Cited by 5 publications

References 15 publications

A Bragg-Like Point Extraction Method for Co-polarization Channel Imbalance Calibration

A Bragg-Like Point Extraction Method for Co-polarization Channel Imbalance Calibration

Backscattering Analysis at ATR on Rough Surfaces by Ground-Based Polarimetric Radar Using Coherent Decomposition

Calibration of a Polarimetric MIMO Array With Horn Elements for Near-Field Measurement

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