Polarized Skylight Navigation System (PSNS)/ GNSS/SINS Integrated Navigation
This addresses a bottleneck in bioinspired navigation for autonomous systems, but it appears incremental as it builds on existing PSNS methods.
The paper tackles the problem that current polarized skylight navigation systems (PSNS) cannot estimate 3D attitude in real-time, hindering integration with other navigation methods, and proposes an integrated navigation algorithm based on a bi-direction solar vector and constructs a dual-core architecture PSNS/GNSS/SINS system.
Bioinspired polarized skylight navigation system (PSNS) is a new navigation method, which imitates insects using polarized skylight for navigation. However, the latest research shows that the current PSNS is difficult to obtain the three-dimensional (3D) attitude in real time only relying on polarized skylight. This causes not only that three-dimensional (3D) cannot be estimated only by PSNS in real time, but also when polarized light is integrated with other navigation methods, 3D attitude cannot be directly used for integrated navigation. Therefore, an integrated navigation algorithm based on bi-direction solar vector is proposed, and a DSP+FPGA (digital signal processor + field programmable gate array) dual-core architecture PSNS/GNSS/SINS (global navigation satellite system/strapdown inertial navigation system) integrated navigation system was constructed.