4.4 Article

GNSS/MEMS IMU ultra-tightly integrated navigation system based on dual-loop NCO control method and cascaded channel filters

Journal

IET RADAR SONAR AND NAVIGATION
Volume 12, Issue 11, Pages 1241-1250

Publisher

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-rsn.2018.5169

Keywords

satellite navigation; radio receivers; inertial navigation; closed-loop experiment; GNSS signals; GNSS; MEMS IMU ultra-tightly; dual-loop NCO control method; channel filters; federated architecture; microelectro-mechanical system; receiver baseband; channel pre-filter outputs; inner loop; cascaded structure; GNSS signal tracking errors; navigation solution derivation errors; receiver clock residual error model; receiver clock drift; ultra-tight integration scheme

Funding

  1. National Natural Science Foundation of China [61403253]

Ask authors/readers for more resources

A coherent scheme of federated architecture for the ultra-tight integration of global navigation satellite system (GNSS) and MEMS (micro-electro-mechanical system) inertial measurement unit (IMU) is presented. Inside the receiver baseband, both the controls for code numerically controlled oscillator (NCO) and carrier NCO are designed. They are each composed of two parts, one part is derived from the navigation solutions of outer loop, and the other part is given on the basis of the channel pre-filter outputs from inner loop. Each tacking channel has two filters of cascaded structure, one is the traditional pre-filter which is used to achieve GNSS signal tracking errors, and the second one is an extractor which is constructed to extract navigation solution derivation errors from the designed NCO controls and the signal tracking errors. For the ultra-tight integration navigation filter, the receiver clock residual error model after compensating the receiver clock drift is derived in detail. Finally, semi-physical simulation environment of the proposed ultra-tight integration scheme is built and closed-loop experiment under high dynamics scenario is put forward. The simulation results show that the proposed integration scheme can stably and robustly track the GNSS signals, and can achieve accurate navigation solutions even in harsh cases.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available