Computationally Efficient Receiver Design for Mitigating Multipath for Positioning with LTE Signals

Abstract

and a member of the Autonomous Systems Perception, Intelligence, and Navigation (ASPIN) Laboratory. She received her B.S. and M.S. in electrical engineering from the University of Tehran. Her current research interests include analysis and modeling of signals of opportunity and software-defined radio.

LTE receiver design and multipath analysis for navigation in urban environments

“…A threshold‐based receiver was tested in this environment in Shamaei et al With this receiver, signals from only three eNodeBs were trackable (ie, eNodeBs 2 through 4) and the resulting RMSE over the same traversed trajectory was 11.96 m, with standard deviation of 6.83 m, and a maximum error of 40.42 m. An earlier version of the receiver presented in this paper was tested in this environment as well . The receiver used only a DLL and did not average over multiple LTE symbols, which is proposed in this paper.…”

“…A threshold-based receiver was tested in this environment in Shamaei et al 30 With this receiver, signals from only three eNodeBs were trackable (ie, eNodeBs 2 through 4) and the resulting RMSE over the same traversed trajectory was 11.96 m, with standard deviation of 6.83 m, and a maximum error of 40.42 m. An earlier version of the receiver presented in this paper was tested in this environment as well. 35 The receiver used only a DLL and did not average over multiple LTE symbols, which is proposed in this paper. With the receiver in Shamaei et al, 35 signals from all four eNodeBs were trackable and the resulting RMSE over the same traversed trajectory was 5.36 m, with a standard deviation of 2.54 m, and a maximum error of 12.97 m. It can be seen that the receiver proposed in this paper produced a superior navigation performance.…”

“…35 The receiver used only a DLL and did not average over multiple LTE symbols, which is proposed in this paper. With the receiver in Shamaei et al, 35 signals from all four eNodeBs were trackable and the resulting RMSE over the same traversed trajectory was 5.36 m, with a standard deviation of 2.54 m, and a maximum error of 12.97 m. It can be seen that the receiver proposed in this paper produced a superior navigation performance. It is worth noting that GPS signals did not suffer from multipath as severely as the LTE signals, given that the sky was not obstructed above the receiver.…”

“…A novel, computationally efficient receiver that deals with the shortcomings of the SRA‐based and first‐peak‐detection–based receivers was proposed in Shamaei et al In this receiver, a specialized orthogonal frequency division multiplexing (OFDM)–based DLL was designed to track the CRSs. This paper extends Shamaei et al and makes five contributions: A novel phase‐locked loop (PLL) discriminator function is proposed to extract the carrier phase error from the CRS. The proposed PLL is used to aid the DLL, which reduces the TOA estimation error.…”

“…A novel, computationally efficient receiver that deals with the shortcomings of the SRA-based and first-peak-detection-based receivers was proposed in Shamaei et al 35 In this receiver, a specialized orthogonal frequency division multiplexing (OFDM)-based DLL was designed to track the CRSs. This paper extends Shamaei et al 35 and makes five contributions:…”