This paper reports a novel approach to simulate on- vehicle GPS system performance which offers a fast estimate of Quality of Service (QoS) in realistic vehicle operation environments. The GPS simulator, which was developed based on the proposed approach, is a dynamic RF link budget calculator that calculates the carrier-to-noise ratio (CNR) at the GPS receiver in a vehicle with each GPS satellite vehicle (SV) in view at a given time. Monte Carlo method was applied to the RF link budget calculation process to account for the random nature of the vehicle dynamics and the broad range of vehicle operation environments. Performance of the GPS simulator was validated against that of the commercial hardware based GPS simulator.

In this paper, we focus on the design and development of a system simulator that can assess the performance of a direct measurement TPMS in various operational scenarios. Our end goal is to use this TPMS simulator as a virtual test environment for a number of different experimental scenarios and possibly reduce the number of actual physical tests that may be required otherwise.

In this paper, we present a system simulator that can evaluate the performance of direct measurement Tire Pressure Monitoring Systems (TPMS) in various operational scenarios. We also discuss the following capabilities of the simulator: (1) modeling the wireless channel characteristics experienced by the signal between various transmitters and the receiver of a given vehicle, (2) modeling collisions among wireless signals of a given vehicle and those of the nearby vehicles, and (3) quantifying the impact of wireless channel characteristics and collisions among wireless signals on the performance of the TPMS. Using results for hypothetical simulation scenarios, we demonstrate the impact of wireless channel characteristics, receiver sensitivity level, and inter-vehicular interference on the performance of the TPMS.

In this paper, we present a system simulator that can assess the performance of a direct measurement Tire Pressure Monitoring System (TPMS) in various operational scenarios. We also discuss the following capabilities of the simulator: (1) modeling the wireless channel characteristics experienced by the signals between various transmitters and the receiver of a given vehicle, (2) modeling intra-vehicular electromagnetic interference (EMI) as experienced by the wireless signals, and (3) quantifying the impact of wireless channel characteristics and intra-vehicular EMI on the system packet error rate (PER). Using quantitative results for hypothetical simulation scenarios, we demonstrate the impact of different levels of Additive White Gaussian Noise (AWGN) and Amplitude Modulated (AM) Noise on the system PER performance.

An electromagnetic (EM) math model of TPMS calculates the data link's RF pathless profile of each four wheels that was later translated into an estimate of packet errors registered by the TPM system using a higher level system simulation tool. A reduced order model (ROM) of a vehicle structure for modeling TPMS performance was developed after investigating four vehicle models having different degree of complexity and identifying effects of various vehicle structures on the pathless profile. Pathless profile of the ROM of a CTS vehicle compared very well with that of the measurement data if variances are minimal in the RF channels between the transmitter and the receiver. The higher-level system model showed the system performance of the ROM converged to that of the measurement data.