Virtual Antenna Array for W-Band Channel Sounding: Design, Implementation, and Experimental Validation

IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yejian Lyu;Zhiqiang Yuan;Fengchun Zhang;Pekka Kyösti;Wei Fan
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引用次数: 0

Abstract

Sub-Terahertz (sub-THz) (i.e., 100–300 GHz) communication is envisioned as one of the key components for future beyond fifth-generation (B5G) communication systems due to its large untapped bandwidth. Sub-THz channel measurements are essential for building accurate and realistic sub-THz channel models. Virtual antenna array (VAA) scheme has been widely employed for radio channel sounding purposes in the literature. However, its application for the W-band (i.e., 75–110 GHz) has been rarely discussed due to system phase instability issues. To tackle this problem, a long-range phase-compensated vector network analyzer (VNA)-based channel sounder at the W-band is proposed. First, the back-to-back measurement of the developed channel sounder is carried out with the presence of cable bending, where the initial phase variation beyond $180^{\circ }$ range due to cable effects can be well corrected to within $10^{\circ }$ range with the proposed phase-compensation scheme, clearly validating its effectiveness. To examine how well it works in practical deployment scenarios, the proposed channel sounder is then employed for channel sounding with two measurement distances, covering both near-field (with a line-of-sight (LoS) distance of 7.3 m) and long-range (with a LoS distance of 84.5 m) cases. Based on the measured data, a high-resolution channel parameter estimator is applied to extract the channel multipath parameters for the large-scale VAA at the W-band, both in the near-field and long-range scenarios, respectively. The high-resolution algorithm was extended to support virtual arrays composed of both omnidirectional antenna and directive antenna in this work. The conventional directional scanning scheme (DSS) measurement is adopted as the reference measurement to validate the effectiveness and robustness of the developed channel sounder. In the end, to demonstrate the state-of-art channel sounding capabilities of the developed channel sounder, ultra-wideband (UWB) channel measurements at 104.5 GHz with 11 GHz bandwidth using the VAA scheme are conducted in a hall scenario with the measurement range up to 58 m with omnidirectional antennas, and the channel parameters are extracted using the validated high-resolution channel parameter estimator for channel modeling purposes.
用于W波段信道探测的虚拟天线阵列:设计、实现和实验验证
由于其巨大的未开发带宽,亚太赫兹(Sub-THz)(即100–300 GHz)通信被设想为未来第五代(B5G)通信系统的关键组件之一。亚太赫兹信道测量对于建立准确和逼真的亚太赫兹信道模型至关重要。在文献中,虚拟天线阵列(VAA)方案已被广泛用于无线电信道探测目的。然而,由于系统相位不稳定性问题,它在W波段(即75–110 GHz)的应用很少被讨论。为了解决这个问题,提出了一种基于长程相位补偿矢量网络分析仪(VNA)的W波段信道测深仪。首先,在存在电缆弯曲的情况下对所开发的航道测深仪进行背靠背测量,其中,由于电缆效应而导致的超过180美元范围的初始相位变化可以通过所提出的相位补偿方案很好地校正到10美元范围内,清楚地验证了其有效性。为了检查其在实际部署场景中的工作情况,然后将所提出的信道测深仪用于具有两个测量距离的信道测深,覆盖近场(视线(LoS)距离为7.3米)和远程(LoS距离为84.5米)情况。基于测量数据,应用高分辨率信道参数估计器分别在近场和长程场景中提取W波段大规模VAA的信道多径参数。本文将高分辨率算法扩展到支持由全向天线和定向天线组成的虚拟阵列。采用传统的定向扫描方案(DSS)测量作为参考测量,验证了所开发的通道测深仪的有效性和稳健性。最后,为了证明所开发的信道测深器的最先进的信道探测能力,使用VAA方案在霍尔场景中进行了104.5GHz和11GHz带宽的超宽带(UWB)信道测量,测量范围高达58m,具有全向天线,并且为了信道建模目的,使用经验证的高分辨率信道参数估计器来提取信道参数。
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来源期刊
IEEE Journal of Selected Topics in Signal Processing
IEEE Journal of Selected Topics in Signal Processing 工程技术-工程:电子与电气
CiteScore
19.00
自引率
1.30%
发文量
135
审稿时长
3 months
期刊介绍: The IEEE Journal of Selected Topics in Signal Processing (JSTSP) focuses on the Field of Interest of the IEEE Signal Processing Society, which encompasses the theory and application of various signal processing techniques. These techniques include filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals using digital or analog devices. The term "signal" covers a wide range of data types, including audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and others. The journal format allows for in-depth exploration of signal processing topics, enabling the Society to cover both established and emerging areas. This includes interdisciplinary fields such as biomedical engineering and language processing, as well as areas not traditionally associated with engineering.
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