Abstract An orthogonal least squares estimator, which was originally derived for single-input single-output systems, is extended to multi-input multi-output non-linear systems. The estimator can provide information about the structure, or terms include in model, and final parameter estimates a very simple efficient manner. Multivariable model validity tests are also discussed results of applying both simulated real data included.

An orthogonal parameter estimation algorithm is derived which allows each in a linear–in–the–parameters non–linear difference equation model to be estimated sequentially and quite independently of the other parameters model. The can applied for any persistently exciting input provides both unbiased estimates presence correlated noise an indication terms include Several simulated examples are included demonstrate effectiveness algorithm.

Abstract The identification of a non-linear output-affine difference equation model is considered. An orthogonal least-squares algorithm derived that can determine the term to regress upon, detect significant terms in expansion, and provide final parameter estimates. It shown property results particularly simple estimation routine simulated examples are included illustrate techniques.

To have a continuous navigation solution that does not suffer from interruption, GPS is integrated with relative positioning techniques such as odometry and inertial navigation. Targeting low-cost for land vehicles, this paper uses reduced multisensor system consisting of one microelectromechanical-system (MEMS)-based single-axis gyroscope used together the vehicle's odometer, whole GPS. This provides 2-D solution, which adequate vehicles. The traditional technique integration problem Kalman...

Recent technological advances in both GPS and low-cost microelectromechanical-system (MEMS)-based inertial sensors have enabled the monitoring of location moving platforms for numerous positioning navigation (POS/NAV) applications. is presently widely used land vehicles. However, some environments, signal may suffer from blockage multipath effects that deteriorate accuracy. When miniaturized inside any platforms, MEMS-based system (INS) can be integrated with enhance performance denied...

Context-awareness and Location-Based-Services are of great importance in mobile computing environments. Although fingerprinting provides accurate indoor positioning Wireless Local Area Networks (WLAN), difficulty offline site surveys the dynamic environment changes prevent it from being practically implemented commercially adopted. This paper introduces a novel client/server-based system that dynamically estimates continuously calibrates fine radio map for without extra network hardware or...

Some recent, efficient approaches to nonlinear system identification, ARMA modeling, and time-series analysis are described illustrated. Sufficient detail references furnished enable ready implementation, examples provided demonstrate superiority over established classical techniques. The identification algorithm presented does not require a priori knowledge of, or assumptions about, the order of be identified signal modeled. A suboptimal, recursive, pairwise search orthogonal candidate data...

Abstract An orthogonal least squares estimator, which was originally derived for single-input single-output systems, is extended to multi-input multi-output non-linear systems. The estimator can provide information about the structure, or terms include in model, and final parameter estimates a very simple efficient manner. Multivariable model validity tests are also discussed results of applying both simulated real data included.

While indoor portable navigation using devices is becoming increasingly required, it faces many challenges in obtaining accurate positioning performance. One of the methods to improve results recognize mode motion user carrying device containing low-cost microelectromechanical systems (MEMS) sensors. Pattern recognition methodology has been employed detect a group modes that are common indoors, namely, walking, stationary, going up/down stairs, standing on an escalator, walking moving...

Recognition of the mode motion or transit user platform carrying a device is needed in portable navigation, as well other technological domains. An extensive survey on recognition approaches provided this paper. The compares and describes from different viewpoints: usability convenience, types devices terms setup mounting data acquisition, various sensors used, signal processing methods employed, features extracted, classification techniques. This paper ends with quantitative comparison...

Navigation of land or self-driving vehicles is essential for safe and accurate travel. The global navigation satellite systems (GNSSs), such as positioning system (GPS) are the primary sources information purpose. However, high-rise buildings in urban canyons block GPS satellites signals. Alternatively, inertial (INS) typically working a backup. A reduced sensor (RISS) used instead full INS to achieve same purpose with fewer sensors computations. Unfortunately, RISS solution drifts over...

Global Navigation Satellite Systems (GNSS) is utilized to provide route guidance information land and autonomous vehicles. The GNSS-based positioning navigation (POS/NAV) usually suffer from satellite signal blockage, interference, multipath in urban areas. Autonomous vehicles are equipped with cameras, radars, laser ranging devices. availability of these systems provides an attractive opportunity increase the POS/NAV system accuracy. This research focuses on development integrated...

1. Three independent sets of evidence have been obtained to show that similar first- and second-order light-evoked kernels are computed for the ganglion cell when system output is taken be either spike train (discrete signal) or postsynaptic potential (analog signal). In this paper we similarity (PSP) readily explained by assuming an underlying cascade structure neural information processing. The enables mathematically related very simply process generating potentials cells. 2. Mathematical...

The last decade has witnessed a growing demand for precise positioning in many applications including car navigation. Navigating automated land vehicles requires at least sub-meter level accuracy with the lowest possible cost. Global Navigation Satellite System (GNSS) Single-Frequency Precise Point Positioning (SF-PPP) is capable of achieving benign GNSS conditions using low-cost receivers. However, SF-PPP alone cannot be employed due to frequent signal degradation and blockage. In this...

The last decade has witnessed a growing demand for precise positioning in many applications, including autonomous car navigation. safety features driving and Advanced Driver Assistance Systems (ADAS) require lane-level accuracy. Such accuracy can be obtained from the Global Navigation Satellite (GNSS) through either differential techniques or Precise Point Positioning (PPP). PPP is currently favored over GNSS because it provides global solution without need local reference stations....