Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
CDMA: principles of spread spectrum communication
CDMA: principles of spread spectrum communication
Matrix computations (3rd ed.)
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
Array Signal Processing: Concepts and Techniques
Array Signal Processing: Concepts and Techniques
SIAM Journal on Optimization
Global Positioning Systems, Inertial Navigation, and Integration
Global Positioning Systems, Inertial Navigation, and Integration
Direct position determination of multiple radio signals
EURASIP Journal on Applied Signal Processing
Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking
Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking
Localization of Narrowband Radio Emitters Based on Doppler Frequency Shifts
IEEE Transactions on Signal Processing
GPS positioning in a multipath environment
IEEE Transactions on Signal Processing
ML estimator and hybrid beamformer for multipath and interference mitigation in GNSS receivers
IEEE Transactions on Signal Processing
Particle filters for positioning, navigation, and tracking
IEEE Transactions on Signal Processing
| Hi-index | 35.68 |
Recently, direct position estimation (DPE) has arisen as a potential approach to deal with the positioning problem in global navigation satellite system receivers. The conventional navigation solution is obtained in two steps: synchronization parameters are estimated and then a trilateration procedure is in charge of computing user's position, based on those parameters. In contrast, DPE estimates receiver's position directly from digitized signal. DPE was seen to provide GNSS receivers with appealing capabilities, such as multipath mitigation. However, a theoretical bound for those estimates is still missing and the answer to "how better can DPE perform compared to the conventional approach?" has not been addressed in the literature. Aiming at clarifying those issues, this paper presents the derivation of the Cramér-Rao bound (CRB) of position for both conventional and DPE approaches. We present the derivation for a multiantenna receiver as a general case. In addition, a number of realistic scenarios are tested in order to compare the theoretical performance bounds of both alternatives and the actual root mean squared error performance of the corresponding maximum likelihood estimator.