Modeling the radio frequency environment of mars for future wireless, networked rovers and sensor webs

Chukkala, Vishwanath; León, Phillip L. De; Horan, Stephen M.; Velusamy, Vijayakumar

doi:10.1109/aero.2004.1367731

Cited by 15 publications

(6 citation statements)

References 3 publications

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“…In this wireless Mars model taken loss due to free space, loss occurs due to reflection, scattering loss and knife edge diffraction. The loss due to the Mars refraction is negligible [11], thus the effective radius of Mars is equal to its physical radius. So, refraction loss of Mars is negligible here.…”

Section: Mars Wireless Modelmentioning

confidence: 99%

RF Propagation Model for Wireless Sensor Network of MARs

Shekh,

Dwivedi,

Pabari

2019

IJEAT

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NASA exploration mission on Mars includes the use of rovers and sensors communicating via wireless sensor networks. The network components have a limited range of transmission, low power consumption, low price and a small lifespan. A wireless network's performance is mainly dependent on the RF environment. A Wireless Sensor Network (WSN) on the Mars ground is planned to deploy wireless sensors capable of operating under harsh environmental conditions to detect few properties of regolith on the Martian surface. The main interest property is dielectric permittivity and permeability. Since communicating on the Mars is a difficult and challenging task, the behavior of communications surfaces can be predicted by a channel model. So, efforts have been put to Develop a channel propagation Model to know the behavior of communication channel on the atmosphere of Mars. In order to study the model for radio propagation on Mars, two sites were selected from Gale crater and Meridian Planum at different sites for the Mars with near-flat surfaces, a certain area with peaks and a region with few craters

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Section: Mars Wireless Modelmentioning

confidence: 99%

RF Propagation Model for Wireless Sensor Network of MARs

Shekh,

Dwivedi,

Pabari

2019

IJEAT

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“…Multipath simulation begins with RF coverage calculations at the selected site. The ITM is chosen as the propagation model with Mars-specific modifications [3]. Environmental parameters are specified in the ITM.…”

Section: Simulationsmentioning

confidence: 99%

“…Our earlier results concerned the link budget at selected sites on Mars and were presented in [3]. These simulations were based on a 2.4 GHz proximity wireless network and computed RF coverage patterns using high-resolution (11 m/pixel) digital elevation maps (DEMs) of specific areas in the Gusev Crater and Meridiani Planum regions.…”

Section: Introductionmentioning

confidence: 99%

Simulation and analysis of the multipath environment of Mars

Chukkala

León

2005

2005 IEEE Aerospace Conference

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NASA's long-term goals for the exploration of Mars include the use of rovers and sensors which intercommunicate through proximity wireless networks. Elements of the network have a short transmission range, low power requirements, low cost, and a relatively short-life span. The performance of any such wireless network depends fundamentally on the radio frequency (RF) environment. In wireless communication systems, communication engineers are generally concerned with two main radio channel issues: link budget and multipath. We have already reported results concerning the link budget at selected sites on Mars. These results were based on a 2.4 GHz proximity wireless network and simulated RF coverage patterns using high-resolution (11 m/pixel) DEMs of the Gusev Crater and Meridiani Planum regions. This paper presents our current research results regarding the multipath environment at the same selected sites on Mars. Our simulations compute the PDP between an access point and a node taking into account environmental parameters including terrain. With these PDPs, we are able to predict and analyze delay spread statistics which could be used in designing wireless network receivers for use on Mars' surface.

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“…This package employs proprietary techniques based on ray-tracing, and is widely used in the cellular telecommunications industry. With proper modifications (described below) and high-resolution DEMs, we are able to compute PDPs out to several microseconds with a temporal resolution of 10 ns [8].…”

Section: Modeling the Martian Rf Environmentmentioning

confidence: 99%

“…These include electrical ground constants (permittivity, conductivity estimated as 4 F/m, 10 ¡8 S/m respectively) and negligible atmospheric attenuation and refraction [13][14][15]. Other parameters within the ITM are chosen based on the WLAN standards or on other known data regarding the Martian environment [8].…”

Section: B Propagation Modelmentioning

confidence: 99%

Terrain-based simulation of IEEE 802.11a and b physical layers on the martian surface

Daga

Lovelace²,

Borah³

et al. 2007

IEEE Trans. Aerosp. Electron. Syst.

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This paper presents results concerning the use of IEEE 802.11a and b wireless local area network (WLAN) standards for proximity wireless networks on the Martian surface. The RF environment on the Martian surface is modeled using high-resolution digital elevation maps (DEMs) of Gusev Crater and Meridiani Planum (Hematite) as sample sites. The resulting propagation path loss models are then used in a physical layer (PHY) simulation. Our results show that Martian terrain as represented by the sites studied, can create multipath conditions which in turn affect 802.11a and b PHY performance. However, with a few tens of milliwatts of radiated power and antenna heights within 1-2 m, orthogonal frequency division multiplexing (OFDM)-based 802.11a can have very good PHY performance in terms of bit error rate (BER) and packet error rate (PER)for distances up to a few hundred meters; 802.11b, which is based on direct-sequence spread spectrum (DSSS), is found to be much more adversely affected in the multipath environment. The DEM-based simulation methodology presented here may be more useful to mission planners than generic statistical models.

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Modeling the radio frequency environment of mars for future wireless, networked rovers and sensor webs

Cited by 15 publications

References 3 publications

RF Propagation Model for Wireless Sensor Network of MARs

RF Propagation Model for Wireless Sensor Network of MARs

Simulation and analysis of the multipath environment of Mars

Terrain-based simulation of IEEE 802.11a and b physical layers on the martian surface

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