SIR-C/X-SAR: A multifaceted radar

Stuhr, F.; Jordan, R.; Werner, M.

doi:10.1109/62.469794

Cited by 14 publications

(4 citation statements)

References 17 publications

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“…For example, in the Magellan mission of Venus detection, 8:2 compression ratio was used [3]. Sir-C satellite also used BAQ with compression ratio of 8:2 [4]. Envisat ASAR has three BAQ compression levels, 8:2, 8:3 and 8:4 [5].…”

Section: Introductionmentioning

confidence: 99%

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A study of spaceborne SAR raw data compression error based on a statistical model of quantization interval transfer probability

Hua

et al. 2010

Sci. China Inf. Sci.

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SAR raw data signal to noise ratio (SNR) after compression is of great importance since the choice of compression ratio is dependent on it during SAR system design and application analysis. The signal to quantization noise ratio (SQNR) generally used may not precisely indicate the relationship between signal and noise. Considering the thermal noise, a statistical model of quantization interval transfer probability is proposed in this paper. SNR mapping between SAR raw data before analog to digital converter (ADC) and after block adaptive quantization (BAQ) over the whole set of saturation degree is obtained using this model. When the power of echo is small with low SNR, after 1, 2, 3 or 4 bits BAQ compression, SNR has tiny difference among the four compression levels. When the power of the echo is medium with higher SNR, the SNR degradation after BAQ is about 5 dB with each bit decreasing from 4 bits. If voltage of the echo is higher than the clipping point of ADC, SNR after ADC and BAQ degrades stepwise. The higher the saturation degree of SAR raw data, the worse the SNR is. Simulated Gaussian data and real SAR raw data are used to verify the theoretical results, which are useful in the choice of BAQ compression ratio and further application analysis. CitationLi X, Qi H M, Hua B, et al. A study of spaceborne SAR raw data compression error based on a statistical model of quantization interval transfer probability.

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Section: Introductionmentioning

confidence: 99%

“…The algorithms practically used for raw data compression in spaceborne SAR are block adaptive quantization (BAQ) and flexible block adaptive quantization (FBAQ) [3][4][5][6][7][8][9]. BAQ was first proposed by Jet Propulsion Laboratory and then successfully implemented in many spaceborne SAR systems.…”

Section: Introductionmentioning

confidence: 99%

A study of spaceborne SAR raw data compression error based on a statistical model of quantization interval transfer probability

Hua

et al. 2010

Sci. China Inf. Sci.

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“…The airborne SAR systems employed many types of antennas, ranging from Yagi, slotted-waveguide to microstrip. However, modern civilian SAR system generally operates in L-, C-and X-band, where microstrip antenna dominates [2]. Recently, dual-band and dual-polarized antennas have been studied using different techniques for satellite and wireless communication applications [3] - [7].…”

Section: Introductionmentioning

confidence: 99%

Compact rectangular microstrip patch antenna for dual band application

Islam

Ali

Majlis

et al. 2008

2008 Asia-Pacific Microwave Conference

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“…BAQ FBAQ(flexible block adaptive quantization) [3−9] . BAQ JPL(jet propulsion laboratory) , Magellan [3] , 8:2 ; Sir-C , 8:2 [4] ; Envisat ASAR 8:2, 8:3 8:4 [5] ; Radarsat-2 4 BAQ 8:1, 8:2, 8:3 8:4 [6] ;…”

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confidence: 99%