Segmented BAQ algorithm for SAR raw data of strong target in weak background

Author

Haojie Zhang ; Jie Chen ; Jingwen Li ; Hongcheng Zeng ; Wei Yang

Author_Institution

Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China

fYear

2013

fDate

23-27 Sept. 2013

Firstpage

470

Lastpage

472

Abstract

In order to improve the performance of block adaptive quantization (BAQ) when dynamic range of the Synthetic Aperture Radar (SAR) echo is far larger than the radar receiver´s, this paper proposes a segmented BAQ algorithm for SAR raw data of strong target in weak background. Firstly, unlike traditional ADC processing, the 12-bit ADC system is used before BAQ. The quantization and saturation error of 12-bit ADC system is analyzed. Moreover, the mapping relationship between standard deviation of output signal (SDOS) of the ADC and the average signal magnitude (ASM) for 12-bit ADC is deduced. Secondly, the concept of the segmented compression is proposed and a segmented non-uniform scalar quantizer for SAR raw data of strong target in weak background is designed. Thirdly, the encoding scheme is provided. Experiment results based on simulated data show that the performance of the proposed algorithm is better than that of traditional BAQ.

Keywords

geophysical signal processing; remote sensing by radar; synthetic aperture radar; 12-bit ADC system; SAR echo dynamic range; SAR raw data; average signal magnitude; block adaptive quantization; output signal standard deviation; radar receiver; segmented BAQ algorithm; segmented compression concept; segmented nonuniform scalar quantizer; synthetic aperture radar; traditional ADC processing; Algorithm design and analysis; Dynamic range; Encoding; Heuristic algorithms; Image segmentation; Quantization (signal); Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Synthetic Aperture Radar (APSAR), 2013 Asia-Pacific Conference on

Conference_Location

Tsukuba

Type

conf

Filename

6705119