Evaluation of Large Scale Propagation Phenomena on the Martian Surface: A 3D Ray Tracing Approach

As the attention towards the exploration of the “Red Planet”, i.e. Mars, increases, the need of models representing the Martian conditions becomes fundamental in order to support future unmanned and manned missions, that will, hopefully, take a human crew to the Martian surface. For this reasons, it is necessary to understand, among other meaningful aspects, how an electromagnetic (EM) waves propagates over the Martian environment and build a model to properly simulate communication systems under realistic channel conditions through common commercial software. This contribution aims to evaluate large scale propagation phenomena on the Martian surface in order to determine a realistic Martian channel model. First, the surface morphology is obtained through the use of a high resolution Digital Elevation Model (DEM) representing the Gale crater. Then, the DEM is converted into a tile-based structure in which the tiles are the DEM's pixel, whose dimension is set according to the DEM's resolution. Each tile vertex is interpolated with the vertex of the nearest tile, thus constructing the walls of the 3D structure. The 3D structure is characterized, from an electromagnetic viewpoint, through the estimation of the complex permittivity. By exploiting a ray tracing approach and simulating an EM signal emitted by an isotropic antenna, the line of sight (LOS) power is computed over the 3D structure. From the received power in the selected Martian location, we estimate path loss samples for different distances between transmitter (TX) and receiver (RX). The samples are averaged for each distance and the path loss exponent, which represents the roughness of the terrain, is obtained by finding the path loss curve which better fits the averaged samples. Finally, the shadow standard deviation is evaluated and analyzed with respect to the considered Martian location.

[1]  Dariush Divsalar,et al.  CDMA communication system for mars areostationary relay satellite , 2017, 2017 IEEE Aerospace Conference.

[2]  P. De Leon,et al.  Simulation and analysis of the multipath environment of Mars , 2005, 2005 IEEE Aerospace Conference.

[3]  Claudio Sacchi,et al.  From LTE-A to LTE-M: a Futuristic Convergence between Terrestrial and Martian Mobile Communications , 2019, 2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom).

[4]  Hadi Larijani,et al.  Empirical propagation performance evaluation of LoRa for indoor environment , 2017, 2017 IEEE 15th International Conference on Industrial Informatics (INDIN).

[5]  Sarag Saikia,et al.  Resilient architecture pathways to establish and operate a pioneering base on Mars , 2018, 2018 IEEE Aerospace Conference.

[6]  Luca Simone Ronga,et al.  Performance evaluation of an IEEE802.15.4 standard based wireless sensor network in Mars exploration scenario , 2009, 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology.

[7]  Chang-Fa Yang,et al.  A ray tracing method for modeling indoor wave propagation and penetration , 1996, IEEE Antennas and Propagation Society International Symposium. 1996 Digest.

[8]  Gary R. Olhoeft,et al.  Frequency and temperature dependence in electromagnetic properties of Martian analog minerals , 2008 .

[9]  Reinaldo A. Valenzuela A ray tracing approach to predicting indoor wireless transmission , 1993, IEEE 43rd Vehicular Technology Conference.

[10]  R.L. Hamilton,et al.  Ray tracing as a design tool for radio networks , 1991, IEEE Network.

[11]  K. Cole,et al.  Dispersion and Absorption in Dielectrics I. Alternating Current Characteristics , 1941 .

[12]  William Scanlon,et al.  Hybrid image/ray-shooting UHF radio propagation predictor for populated indoor environments , 1999 .

[13]  K. Pahlavan,et al.  A graphical indoor radio channel simulator using 2D ray tracing , 1992, [1992 Proceedings] The Third IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[14]  G.R. Lovelace,et al.  Terrain-based simulation of IEEE 802.11a and b physical layers on the martian surface , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[15]  Theodore S. Rappaport,et al.  A ray tracing technique to predict path loss and delay spread inside buildings , 1992, [Conference Record] GLOBECOM '92 - Communications for Global Users: IEEE.

[16]  Wei Xiang,et al.  A novel systematic raptor network coding scheme for Mars-to-Earth relay communications , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[17]  R. Anderson,et al.  Mojave Martian Simulant: A New Martian Soil Simulant , 2007 .