使用空间分布式同相天线提高信号接收的抗噪能力

G. V. Kulikov, Yuriy Polevoda, M. Kostin
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The aim of the present work is to reduce the effect of multipath propagation of radio waves in the communication channel under complex interference conditions.Methods. The methods of statistical radio engineering and mathematical modeling are used according to optimal signal reception theory.Results. The presented model for a multi-element, spatially-distributed, in-phase receiving antenna of various configurations, featuring an electronically adjustable radiation pattern, is designed to ameliorate the multipath nature of signal propagation. A simulation of a multipath communication channel was carried out in the presence of one main and three reflected beams of radio wave propagation, as well as with harmonic interference at two angles of its arrival and different frequency detuning relative to the frequency of the useful signal. The probability of a bit error when receiving discrete information using the proposed antenna is estimated.Conclusions. 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引用次数: 0

摘要

目的。无线电技术信息传输系统广泛应用于我们生活的各个领域,不仅用于电信和相关的家庭需求,还用于各种特殊服务的运作,如应急响应单位,这些单位在工作过程中越来越多地使用机器人综合体。在紧急情况下,机器人设备可用于钻入瓦砾、混凝土管道或其他市政设施,这通常会导致无线电波传播的必要条件急剧恶化。在这方面,确保与机器人综合体进行可靠通信的问题变得相当尖锐。本研究的目的是在复杂的干扰条件下,减少无线电波在通信信道中的多径传播影响。方法:根据最佳信号接收理论,采用无线电统计工程和数学建模方法。所提出的多元件、空间分布式、不同配置的同相接收天线模型,具有电子可调辐射模式,旨在改善信号传播的多径特性。在无线电波传播的一个主波束和三个反射波束以及两个到达角度的谐波干扰和相对于有用信号频率的不同频率失谐的情况下,对多径通信信道进行了模拟。对使用拟议天线接收离散信息时出现误码的概率进行了估算。所提出的接收端信号处理算法可用于部分补偿多径效应的影响。因此,与使用一个天线元件的全向天线接收相比,信息接收的抗噪能力有所提高:误码率为 10-3 时,两个波束的能量增益为 2 dB,三个或四个波束的能量增益为 7-10 dB。在无线电信道中存在集中谐波干扰的情况下,也可以观察到其同时进行的空间(由天线)和频谱(由解调器)过滤,其效果取决于干扰的到达方向和频率失谐,这也会导致误码率显著下降。
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Use of a spatially distributed in-phase antenna to increase the noise immunity of signal reception
Objectives. Radio-technical information transmission systems are widely used in various sectors of our life, not only for telecommunications and associated domestic needs, but also for the functioning of various special services, such as emergency response units, which increasingly use robotic complexes in the course of their work. In the event of an emergency, robot devices can be used to get in under rubble, in concrete pipes or other municipal facilities, which typically result in a sharp deterioration of the necessary conditions for the propagation of radio waves. In this regard, the problem of ensuring reliable communication with the robotic complex becomes rather acute. The aim of the present work is to reduce the effect of multipath propagation of radio waves in the communication channel under complex interference conditions.Methods. The methods of statistical radio engineering and mathematical modeling are used according to optimal signal reception theory.Results. The presented model for a multi-element, spatially-distributed, in-phase receiving antenna of various configurations, featuring an electronically adjustable radiation pattern, is designed to ameliorate the multipath nature of signal propagation. A simulation of a multipath communication channel was carried out in the presence of one main and three reflected beams of radio wave propagation, as well as with harmonic interference at two angles of its arrival and different frequency detuning relative to the frequency of the useful signal. The probability of a bit error when receiving discrete information using the proposed antenna is estimated.Conclusions. The proposed signal processing algorithm on the receiving side can be used to partially compensate for the influence of the multipath effect. As a result, the noise immunity of information reception in comparison with reception on an omnidirectional antenna with one antenna element increases: for a bit error probability of 10−3, the energy gain ranges from 2 dB for two beams to 7–10 dB for three or four beams. In the presence of concentrated harmonic interference in the radio channel, its simultaneous spatial (by the antenna) and spectral (by the demodulator) filtering is also observed, the effectiveness of which depends on the direction of arrival and the frequency detuning of the interference, which also leads to a significant decrease in the error probability.
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