Signals of Opportunity Aided Inertial Navigation

نویسندگان

  • Joshua J. Morales
  • Paul F. Roysdon
  • Zaher M. Kassas
چکیده

A signal of opportunity (SOP)-aided inertial navigation system (INS) framework is presented and studied. The following problem is studied. A mobile receiver with access to global navigation satellite system (GNSS) signals is aiding its onboard INS with GNSS pseudoranges. While navigating, the receiver draws pseudorange observations on ambient unknown terrestrial SOPs and estimates the SOPs’ states. GNSS signals become unavailable, at which point the receiver uses the SOPs to aid its INS. It is demonstrated that fusing SOP pseudoranges in a tightly-coupled GNSS-SOP-INS framework produces a superior navigation solution to a traditional tightly-coupled GNSS-INS framework. Moreover, in the absence of GNSS signals, it is demonstrated that aiding the INS via SOPs produces bounded estimation errors. The SOP-aided INS’s performance sensitivity is studied over varying quantity and quality of exploited SOPs. Experimental results are presented demonstrating a ground vehicle navigating exclusively with inertial measurement unit (IMU) data and pseudoranges from an unknown terrestrial SOP emanating from a cellular tower.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Adaptive Fusion of Inertial Navigation System and Tracking Radar Data

Against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive Kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (INS/Radar). This filter involves the concept of residual-based adaptive estimation and adaptive fading Kalman filter and tunes dynamically the fil...

متن کامل

Distributed Signals of Opportunity Aided Inertial Navigation with Intermittent Communication

A distributed signal of opportunity (SOP)-aided inertial navigation system (INS) framework is presented and studied for vehicles collaborating in an imperfect communication channel. The following scenario is considered. Multiple autonomous vehicles (AVs) are aiding their onboard INSs with global navigation satellite system (GNSS) signals. The AVs draw pseudorange observations from unknown SOPs ...

متن کامل

Practical Evaluation of EKF1 and UKF2 Filters for Terrain Aided Navigation

This article would study batch and recursive methods that used in terrain navigation systems. Terrain navigation has a lot ofdisadvantages and so researchers have been studied on different method of aided navigation for many years. Therefore, more types of aided navigation systems were introduced with advantages and disadvantages in terms of practical and theoretical. One of the main ideas for ...

متن کامل

Collaborative Autonomous Vehicles with Signals of Opportunity Aided Inertial Navigation Systems

Joshua J. Morales is pursuing a Ph.D. from the Department of Electrical and Computer Engineering at the University of California, Riverside and is a member of the Autonomous Systems Perception, Intelligence, and Navigation (ASPIN) Laboratory. He received a B.S. in Electrical Engineering with High Honors from the University of California, Riverside. His research interests include estimation, nav...

متن کامل

Performance Enhancement of GPS/INS Integrated Navigation System Using Wavelet Based De-noising method

Accuracy of inertial navigation system (INS) is limited by inertial sensors imperfections. Before using inertial sensors signals in the data fusion algorithm, noise removal method should be performed, in which, wavelet decomposition method is used. In this method the raw data is decomposed into high and low frequency data sets. In this study, wavelet multi-level resolution analysis (WMRA) techn...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016