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 abnor-mal 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 sat-ellite 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 inter-ference,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.
关键词
全球卫星导航系统/测距机干扰/干扰抑制/稀疏域/鲁棒统计理论
Key words
global navigation satellite system/interference of distance measuring equipment/interference suppres-sion/sparse domain/robust statistical theory
维普
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