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中国民航大学天津市智能信号与图像处理重点实验室,天津 300000
Received:04 August 2023,
Revised:2023-12-24,
Published:25 September 2024
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贾琼琼, 周月颖. 局部鲁棒预处理的DME干扰抑制方法[J]. 电子学报, 2024, 52(09): 3148-3158.
JIA Qiong-qiong, ZHOU Yue-ying. DME Interference Suppression Based on Local Robust Preprocessing[J]. Acta Electronica Sinica, 2024, 52(09): 3148-3158.
贾琼琼, 周月颖. 局部鲁棒预处理的DME干扰抑制方法[J]. 电子学报, 2024, 52(09): 3148-3158. DOI:10.12263/DZXB.20230739
JIA Qiong-qiong, ZHOU Yue-ying. DME Interference Suppression Based on Local Robust Preprocessing[J]. Acta Electronica Sinica, 2024, 52(09): 3148-3158. DOI:10.12263/DZXB.20230739
全球定位系统(Global Positioning System, GPS) L5/北斗 B2/Galilea E5是全球卫星导航系统(Global Navigation Satellite System, GNSS)的重要组成部分,为民用航空提供与生命安全相关的应用服务.然而L5/B2/E5信号处于受保护的航空无线电导航服务(Aeronautical Radio Navigation Service, ARNS)频段内(962~1213 MHz),同时工作在该频段内的还有民用航空导航系统测距机(Distance Measuring Equipment, DME)等.DME发射的大功率脉冲信号会对L5/B2/E5等卫星导航信号造成干扰,使得接收机无法正常捕获卫星信号或导致跟踪环路失锁.传统的DME干扰抑制方法通过在干扰稀疏域,如时域、频域和时频混合域进行DME干扰置零,这会在抑制干扰的同时完全消除与干扰重叠的卫星信号.为了降低DME干扰抑制对卫星信号的损失,本文提出基于鲁棒统计理论的局部鲁棒预处理的DME干扰抑制方法,根据DME干扰所在的稀疏域特性提取出存在干扰的信号片段后,应用非高斯分布下的鲁棒统计理论对提取出的数据样本进行鲁棒预处理,从而在抑制干扰的同时降低对卫星信号的影响.实验结果表明本文所提出的稀疏域局部鲁棒预处理的DME干扰抑制方法的性能优于相应的传统稀疏域方法,输出捕获因子比传统稀疏域方法提高1~2 dB.
Global Positioning System (GPS) L5
Beidou B2 and Galilea E5 are important components of the global navigation satellite system (GNSS)
providing life safety related applications services for civil aviation. The L5
B2 and E5 signal are working in the protected aeronautical radio navigation service (ARNS) band (962~1213 MHz). At the same time
distance measuring equipment (DME)
the civil aviation navigation system
is also working in this frequency band. The high-power pulse signal emitted by DME will interfere with satellite navigation signals such as L5/B2/E5
leading to abnormal acquisition of satellite signals by the receiver or loss of lock in the tracking loop. Traditional interference sparse domain suppression
such as DME interference zeroing method in time domain and time-frequency hybrid domain
can completely eliminate the satellite signal overlapping with interference while suppressing interference. In order to reduce the loss of satellite signals while mitigating the DME interference
this paper proposes a DME interference suppression method based on local robust preprocessing using robust statistical theory. According to the sparse domain characteristics of the DME interference
the robust statistical theory of non-gaussian distribution is applied to the extraction of the data samples
which can reduce the effect of the satellite signal while inhibiting the interference. The experimental results show that the performance of DME interference suppression method based on the local robust preprocessing is superior to the corresponding traditional sparse domain method
and the output acquisition factor increases the 1~2 dB by the traditional sparse domain method.
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