Short-Range Low-VHF Channel Characterization in Cluttered Environments Fikadu T

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Short-Range Low-VHF Channel Characterization in Cluttered Environments Fikadu T IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. 63, NO. 6, JUNE 2015 2719 Short-Range Low-VHF Channel Characterization in Cluttered Environments Fikadu T. Dagefu, Member, IEEE, Gunjan Verma, Chirag R. Rao, Paul L. Yu, Member, IEEE, Jonathan R. Fink, Member, IEEE, Brian M. Sadler, Fellow, IEEE, and Kamal Sarabandi, Fellow, IEEE Abstract—The lower VHF band has potential for low-power, State-of-the-art communication systems that operate in the short-range communications, as well as for geolocation applica- upper VHF through microwave bands suffer from significant tions, in both indoor and urban environments. Most prior work at attenuation and small-scale fading, as well as phase distor- low VHF focuses on longer range path loss modeling, often with one node elevated. In this paper, we study indoor/outdoor near- tion, caused by high levels of multipath [5], [6]. In a complex ground scenarios through experiments and electromagnetic wave environment at these frequencies, without line of sight (LoS), propagation simulations. These include the effects of indoor pen- multipath propagation is the dominant signal source between etration through walls and obstacles, as well as indoor/outdoor a transmitter (Tx) and a receiver (Rx), whereas the direct path cases, for both line of sight (LoS) and nonLoS (NLoS), at ranges signal is often extremely weak due to penetration loss. Major up to 200 m. Mounting our receiver (Rx) on a robotic plat- form enabled the collection of thousands of measurements over efforts have been devoted over many decades to design sophis- an extended indoor/outdoor test area. We measure the channel ticated multipath mitigation techniques, incorporating channel transfer function, employing bandpass waveform sampling, with coding and modulation schemes [7]. Such schemes add signifi- pulse and tone probe signals. Based on statistical tests, we show cantly to transceiver hardware and software complexity, yet still that the measured channels have a nearly ideal scalar attenua- may provide marginal performance in challenging scenarios, tion and delay transfer function, with minimal phase distortion, and little to no evidence of multipath propagation. Compared with e.g., necessitating networking over many hops, or high-transmit higher VHF and above, the measured short-range VHF channels power. do not exhibit small-scale fading, which simplifies communica- The lower VHF band has significant potential to support low tions Rx signal processing, and enables phase-based geolocation complexity, low power, highly reliable communications. This techniques. stems from the fact that at lower VHF, scatterers are small Index Terms—Channel phase distortion, indoor/outdoor propa- in terms of wavelength [3], [8]. Consequently, strong pene- gation measurements, lower VHF band, near-ground propagation, tration through multiple walls and buildings can be achieved path loss, transfer function measurements, wireless channel char- at relatively low power. Reflection, scattering, and diffraction acterization. phenomena are dramatically reduced, yielding a short-range channel that is LoS-like in terms of very slight phase distortion I. INTRODUCTION and delay spread. This liberates the low-VHF system designer ELIABLE wireless communication is of paramount from the typically stringent requirements on power, system R importance for many important civilian and military bandwidth, and complex equalization processing needed at applications. In challenging environments such as urban other bands. canyons and indoor settings, achieving a reliable communica- Conventional antennas such as dipoles operating in the lower tions link minimally impeded by scatterers is extremely chal- VHF band are very large, limiting their practical application. lenging. In recent years, rapid global urbanization and the ever However, due to recent advances in antenna miniaturization increasing need for reliable communications in emergency and techniques and the development of palm-sized lower VHF tactical applications [1], [2] has necessitated reliable commu- antennas with good performance [9], [10], interest in low nications paradigms for such environments to support humans power, low data rate communications in this band is increas- and autonomous agents, enabling communications, sensing, ing. Thus, there is a need to better understand the channel real-time positioning, and tracking [3], [4]. characteristics in this band, to better inform and guide the design of systems. While the frequency allocations vary in dif- Manuscript received March 15, 2014; revised January 29, 2015; accepted March 25, 2015. Date of publication April 01, 2015; date of current version ferent regions of the world, in North America, there is dual May 29, 2015. allocation at low VHF, consisting of primary and secondary F.T.Dagefu,G.Verma,C.R.Rao,P.L.Yu,J.R.Fink,and allocations. Applications and users include the industrial, sci- B. M. Sadler are with the Army Research Laboratory, Adelphi, MD 20783 entific, and medical (ISM) band, the U.S. Army Single Channel USA (e-mail: fi[email protected]; [email protected]; [email protected]; [email protected]; jonathan.r.fink3.civ@ Ground and Airborne Radio System (SINCGARs), highway mail.mil; [email protected]). patrol radios, and ocean radars [11]. K. Sarabandi is with the Department of Electrical Engineering and Computer The large majority of channel characterization in complex Science, University of Michigan, Ann Arbor, MI 48109-2122 USA (e-mail: propagation scenarios consist of path loss measurements in [email protected]). Color versions of one or more of the figures in this paper are available online support of long-range commercial wireless applications which at http://ieeexplore.ieee.org. operate in the upper UHF and microwave range [12]. These Digital Object Identifier 10.1109/TAP.2015.2418346 studies typically assume a powerful base station with an 0018-926X © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 2720 IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. 63, NO. 6, JUNE 2015 elevated antenna serving mobile units located near ground [1], as is common in cellular phone and other mobile communi- cations. These classical empirically derived urban propagation models are not appropriate for near-ground nodes operating at the lower VHF and HF bands [16], [17]. Urban path-loss models in the upper VHF and military UHF bands based on field measurements have been presented in [1], [13]. Similar path-loss models in the lower VHF range have also been proposed [2], [14], [15]. In the literature, lit- tle attention has been paid to shorter range lower VHF band channel characterization for near-ground nodes deployed in complex propagation scenarios, especially for indoor-to-indoor Fig. 1. FDTD simulation geometry used for short-range phase distortion anal- ysis. The walls are modeled as homogeneous dielectric slabs and metal sheets and outdoor-to-indoor communications. We note that the major- are introduced to simulate a more realistic environment. ity of work regarding HF/VHF channel modeling focuses on long-range ionospheric and ground-wave propagation [20]. are not shown in the figure for clarity). The floor is modeled as In this paper, we study near-ground, wireless channel in a half-space homogeneous dielectric medium with a dielectric the lower VHF band for indoor and indoor/outdoor scenarios constant of concrete (r =4.5+j0.011). The walls are mod- (with specific focus on channel phase distortion), drawing from eled as dielectric slabs with a dielectric constant of brick (r = extensive propagation measurements and simulations using a 4+j0.001). To make this indoor scenario more realistic, rect- finite difference time domain (FDTD)-based electromagnetic angular metal sheets (1.2 m × 1.2 m) are included to simulate model. In Section II, the full-wave electromagnetic simula- the effect of windows since the metal sheet has the same effect tion results are described. In Sections III and IV, we discuss as having a metallic frame around the edges of the window due the measurement system and scenarios, experimental results to the relatively large wavelength. The dimensions of the over- and analysis based on our measurements, including path-loss, all scenario are 15 m × 15 m by 3.3 m. The geometry is kept small-scale fading, and phase distortion. We have also mea- relatively small to make the simulation more computationally sured the bit error rate (BER) versus received signal-to-noise tractable. A vertically polarized dipole antenna positioned out- ratio (SNR) for QPSK transmission. Using only timing and car- doors is used as a Tx, emitting a Gaussian envelope pulse that is rier estimation at the Rx, the resulting BER curves coincide frequency translated to 40 MHz, with a 1 MHz bandwidth. Four with theoretical additive white Gaussian noise (AWGN) chan- vertically polarized Rx antennas are positioned indoors and the nel BER predictions. Due to space limitations, BER results are received signal from each antenna is recorded. Note that the Rx not included here, but are available in [22]. positions are symmetrically positioned on either side of the Tx antenna along the x-axis. II. MULTIPATH ANALYSIS AND FULL-WAV E SIMULATION In addition to path-loss, we consider the phase coherence and memory in the channel. Denote the linear time invariant N−1 In this section, we consider the multipath channel and associ- jφk channel impulse response as h(n)= k=0 Pke δ(n − nk), ated channel transfer function. This is a precursor to measuring th where Pk and φk are the amplitude and phase of the k com- and estimating the channel transfer function in amplitude and ponent of the signal. The k =0term corresponds to the first phase. An indoor/outdoor propagation simulation is used as an arrival in time, where we assume that n0 <n1 < ···<nN−1 initial look at the problem (later, we consider a physical scene model the delays of the N multipath components.
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