Research of Channel Dismatch Errors in Parallel AD Acquisition System Based on FPGA

2011 ◽  
Vol 201-203 ◽  
pp. 2126-2131
Author(s):  
Xing Ling Shao ◽  
Wei Yang ◽  
Zheng Yan Wang ◽  
Wen Dong Zhang
Keyword(s):  
Feature Extraction ◽  
Acquisition System ◽  
Echo Signal ◽  
Large Bandwidth ◽  
Channel Mismatch ◽  
Radar Echo ◽  
Explicit Analysis ◽  
Interleaved Adc ◽  
Time Interleaved

With the development of modem broadband radar, amount of reaserchers focus on broadband radar echo signal acquisitions and feature extraction of the target. Due to the large bandwidth as high as several MHz, the time interleaved ADC system is playing an important in radar echo systems, but this structure will bring in channel dismatch errors. The paper gave an explicit analysis of such three channel mismatch errors, and established the formulas of spectrum when all three mismatch errors exist together. Then presented the measure errors algorithm combined three errors according to the formulas of spectrum and the effective calibration algorithm．The algorithm was implemented in FPGA at last.

scholarly journals Explicit analysis of channel mismatch effects in time-interleaved ADC systems

2001 ◽  
Vol 48 (3) ◽  
pp. 261-271 ◽  
Author(s):  
N. Kurosawa ◽  
H. Kobayashi ◽  
K. Maruyama ◽  
H. Sugawara ◽  
K. Kobayashi
Keyword(s):  
Channel Mismatch ◽  
Explicit Analysis ◽  
Interleaved Adc ◽  
Time Interleaved

Researches on Channel Mismatch Effects in Time-Interleaved ADC System

2013 ◽  
Vol 655-657 ◽  
pp. 978-983
Author(s):  
Hui Yong Sun ◽  
Peng Cao
Keyword(s):  
High Speed ◽  
Dynamic Range ◽  
Signal To Noise Ratio ◽  
Mismatch Error ◽  
Signal To Noise ◽  
Gain Error ◽  
Channel Mismatch ◽  
High Speed Data Acquisition ◽  
Interleaved Adc ◽  
Time Interleaved

The Time-Interleaved ADC（TIADC) is an effective method for implement ultra high-speed data acquisition. However, the errors of channel mismatch are seriously degrade the signal-to-noise ratio of the system, such as Time-skew error, Gain error and Offset error. This paper have done some researches and analysis, and given the modeling of the three channels mismatch. What's more, it also given a detailed analysis of error and the method of measure it, derived the formula of signal to noise and distortion ratio(SINAD) and spurious free dynamic range(SFDR). All of them provide a reference for the tolerance range of TIADC channel mismatch error. Meanwhile, the result of this paper has provided a theoretical basis for eliminating TIADC channel mismatch error.

scholarly journals Feature Extraction and Reconstruction by Using 2D-VMD Based on Carrier-Free UWB Radar Application in Human Motion Recognition

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 1962 ◽  
Author(s):  
Liubing Jiang ◽  
Xiaolong Zhou ◽  
Li Che ◽  
Shuwei Rong ◽  
Hexin Wen
Keyword(s):  
Feature Extraction ◽  
Human Motion ◽  
Echo Signal ◽  
Motion Recognition ◽  
Uwb Radar ◽  
Wave Radar ◽  
Carrier Free ◽  
Different Types ◽  
Radar Echo ◽  
Human Motion Recognition

As the size of the radar hardware platform becomes smaller and smaller, the cost becomes lower and lower. The application of indoor radar-based human motion recognition has become a reality, which can be realized in a low-cost device with simple architecture. Compared with narrow-band radar (such as continuous wave radar, etc.), the human motion echo signal of the carrier-free ultra-wideband (UWB) radar contains more abundant characteristic information of human motion, which is helpful for identifying different types of human motion. In this paper, a novel feature extraction method by two-dimensional variational mode decomposition (2D-VMD) algorithm is proposed. And it is used for extracting the primary features of human motion. The 2D-VMD algorithm is an adaptive non-recursive multiscale decomposition method for nonlinear and nonstationary signals. Firstly, the original 2D radar echo signals are decomposed by the 2D-VMD algorithm to capture several 2D intrinsic mode function (BIMFs) which represent different groups of central frequency components of a certain type of human motion. Secondly, original echo signals are reconstructed according to the several BIMFs, which not only have a certain inhibitory effect on the clutter in the echo signal, but can also further demonstrate that the BIMFs obtained by the 2D-VMD algorithm can represent the original 2D echo signal well. Finally, based on the measured ten different types of UWB radar human motion 2D echo analysis signals, the characteristics of these different types of human motion are extracted and the original echo signal are reconstructed. Then, the three indicators of the PCC, UQI, and PSNR between the original echo signals and extraction/reconstruction 2D signals are analyzed, which illustrate the effectiveness of 2D-VMD algorithm to extract feature of human motion 2D echo signals of the carrier-free UWB radar. Experimental results show that BIMFs by 2D-VMD algorithm can well represent the echo signal characteristics of this type of human motion, which is a very effective tool for human motion radar echo signal feature extraction.

scholarly journals Explicit analysis of nonlinearities in time-interleaved ADC

2018 ◽  
Vol 15 (11) ◽  
pp. 20180373-20180373 ◽  
Author(s):  
Wentao Wei ◽  
Peng Ye ◽  
Yu Zhao ◽  
Kuojun Yang ◽  
Jian Gao ◽  
...  
Keyword(s):  
Explicit Analysis ◽  
Interleaved Adc ◽  
Time Interleaved
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