模拟信息转换处理高带宽稀疏信号的噪声分析

贺继渊; 田松; 王星; 田元荣

doi:10.3788/OPE.20152313.0638

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模拟信息转换处理高带宽稀疏信号的噪声分析

更新时间：2020-08-13

- 模拟信息转换处理高带宽稀疏信号的噪声分析
- Noise analysis of high bandwidth sparse signals processed by AIC
- 光学精密工程 2015年23卷第10z期页码：637-643
- 作者机构：
  
  空军工程大学航空航天工程学院, 陕西西安 710038
- 作者简介：
- 基金信息：
  
  国家基金青年项目(No.61203268)();陕西省自然科学基金资助项目(No.2012JQ8019)();航空科学基金资助项目(No.20152096019)()
- DOI：10.3788/OPE.20152313.0638
  中图分类号： TN97;TP391
- 收稿日期：2015-06-01，
  
  修回日期：2015-06-12，
  
  纸质出版日期：2015-11-14
- 稿件说明：
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贺继渊, 田松, 王星等. 模拟信息转换处理高带宽稀疏信号的噪声分析[J]. 光学精密工程, 2015,23(10z): 637-643

HE Ji-yuan, TIAN Song, WANG Xing etc. Noise analysis of high bandwidth sparse signals processed by AIC[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 637-643
贺继渊, 田松, 王星等. 模拟信息转换处理高带宽稀疏信号的噪声分析[J]. 光学精密工程, 2015,23(10z): 637-643 DOI： 10.3788/OPE.20152313.0638.

HE Ji-yuan, TIAN Song, WANG Xing etc. Noise analysis of high bandwidth sparse signals processed by AIC[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 637-643 DOI： 10.3788/OPE.20152313.0638.

摘要

以现代雷达信号处理为背景

研究了模拟信息转换(AIC)处理高频段大带宽稀疏信号的可行性

并对AIC在实际应用中产生的噪声进行了分析。通过目前雷达信息带宽低的特点以及数模转换(ADC)的局限性

说明了AIC替代方案的优势和前景。评估了信号在各个信号处理环节由于抖动和孔径噪声对整个AIC造成的影响

并和高速ADC进行了对比。最后

在噪声的影响比较大的情况下

对AIC信号处理修正进行了分析验证。实验结果表明

在高速ADC的量化范围内

当孔径参数一定且稀疏度(

)小于0.35时

AIC比ADC具有明显的优势;而在

大于0.35时

AIC受孔径影响较为严重

但经过修正

AIC仍然表现良好。文中的结果显示AIC极大地降低了系统对ADC的限制

具有更好的应用前景。

Abstract

On the basis of modern radar signal processing

this paper explores the feasibility of high frequency and large bandwidth sparse signals processed by Analog-to-Information Converter(AIC) and analyzes the noise effects of the AIC in practical applications. It explains the low bandwidth characteristics of the radar signals and the resolution and performance limitation of Analog-to-Digital Converter(ADC). Then

this paper evaluates the impact of signals with jitters and aperture noise on the AIC in signal processing

and compares the performance between the AIC and the ADC. It points out that the jitter and aperture noise limit the achievable ADC resolution. Finally

a system evaluation framework for examining these limitations is proposed. The evaluation shows that the performance of AIC is better than that of the ADC obviously when the aperture parameter

is fixed and the sparsity

is less than 0.35. However

when

is larger than 0.35

the influence of aperture will be serious. But the AIC is still implementation well through cross validation. It concludes that the currently proposed AIC benefits over high-speed ADC in near future.

关键词

Keywords

references

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