Adaptive Interference Cancellation for L-DACS1 by the Usage of High Order Statistics

ZENG Xiao-ping; HE Yuan; JIAN Xin; HUANG Jie; LI Meng-ru

doi:10.3969/j.issn.0372-2112.2016.10.014

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Adaptive Interference Cancellation for L-DACS1 by the Usage of High Order Statistics

更新时间：2025-07-16

- Adaptive Interference Cancellation for L-DACS1 by the Usage of High Order Statistics
- Acta Electronica Sinica Vol. 44, Issue 10, Pages: 2377-2383(2016)
- 作者机构：
  
  重庆大学通信工程学院,重庆,400030
- 作者简介：
- 基金信息：
  
  Major Research Program of the National Natural Science Foundation of China (No.91438104);General Progeam Program of the National Natural Science Foundation of China(No.61571069);Project (No.61501065);Supported by Fundamental Research Funds for the Central Universities (No.106112015CDJXY160002);Chongqing Postgraduate Science Innovation Program (No.CYS14005)
- DOI：10.3969/j.issn.0372-2112.2016.10.014
  CLC： TP911.4
- Published Online：25 October 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
ZENG Xiao-ping, HE Yuan, JIAN Xin, et al. Adaptive Interference Cancellation for L-DACS1 by the Usage of High Order Statistics[J]. Acta Electronica Sinica, 2016, 44(10): 2377-2383.
DOI：

ZENG Xiao-ping, HE Yuan, JIAN Xin, et al. Adaptive Interference Cancellation for L-DACS1 by the Usage of High Order Statistics[J]. Acta Electronica Sinica, 2016, 44(10): 2377-2383. DOI： 10.3969/j.issn.0372-2112.2016.10.014.

摘要

针对L-DACS1（L-band Digital Aeronautical Communication System Type 1）与DME（Distance Measuring Equipment）信号在时域、频域和低阶统计域干扰抑制不理想的问题，本文将L-DACS1与DME时频域交叠的干扰场景建模为确定性信号叠加高斯有色噪声的干扰量化模型，根据两者在高阶统计域的差异特性，提出基于三阶累积量的自适应滤波算法，并引入对数螺线函数改进变步长机制，实现自适应DME干扰消除.仿真结果表明：所提算法具有更高的干扰抑制比和更低的误比特率，但复杂度较高.相关结论可为L-DACS1系统的实际部署提供参考.

Abstract

To mitigate DME pulse interference over L-DACS1 and overcome the shortage of conventional solutions in time

frequency or second-order statistics domain

an innovative adaptive interference cancellation scheme by the usage of high-order statistics is introduced

namely CE-LMS.CE-LMS models the coexistence of L-DACS1 signal and DME interference as a deterministic signal plus colored Gaussian noises

and employs a cost function based on the three-order cumulant statistics and a variable step adjustment mechanism based on logarithmic function.All this together allow CE-LMS to eliminate the pulse-like DME interference from L-DACS1.Numerical results show that CE-LMS algorithm can achieve a better cancellation ratio and lower bit error rate with a increase in computational complexity

which may help to the deployment of L-DACS1.

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