5 results about "GPS/INS" patented technology

The invention provides an unmanned aerial vehicle control-oriented TCN-LSTM series network multi-source state real-time sensing method and system. The method comprises the following steps of: constructing a deep neural network model formed by connecting a TCN and an LSTM in series; the speed, attitude and position information of the unmanned aerial vehicle is acquired through cooperation of the RTK-GPS, the INS and the IMU, and time alignment is carried out on IMU data and RTK-GPS / INS data by using an interpolation method; the collected data is divided into a training set, a verification set and a test set, and a composite loss function fusing RMSE, MAE, quaternion angle errors and offset errors is adopted to train and evaluate the model; serializing sensor data based on a sliding time window strategy to form an input feature vector, and standardizing IMU data according to channels; and inputting the standardized sensor data into the TCN-LSTM model, and outputting a state estimation result for navigation, path planning or closed-loop control.

The invention discloses a multi-mode airborne aviation communication navigation monitoring comprehensive simulation system and method, and the system takes a main control module as a core processing center, and is responsible for data collection, instruction distribution, and parameter configuration and storage. The system integrates a VHF / UHF communication module, a DME navigation module, a monitoring module and a GPS / INS navigation module. Wherein the VHF / UHF communication module, the DME navigation module and the monitoring module all adopt a unified highly integrated hardware architecture, the core of the VHF / UHF communication module, the DME navigation module and the monitoring module is a signal processor integrated with an FPGA and a DSP and a chip with analog-to-digital / digital-to-analog conversion and radio frequency transceiving functions, and the VHF / UHF communication module, the DME navigation module and the monitoring module are respectively connected with a UV antenna, a DME antenna and a monitoring antenna; and the GPS / INS navigation module is connected with the GPS antenna. The system integrates communication, navigation and monitoring functions through a highly integrated unified hardware architecture, solves the problems that traditional equipment is discrete and poor in collaboration, and improves the test efficiency and reliability.

The invention relates to the Vertical Gliding Guided Tactical Munition or in other words, the Tactical Combat Unit Propeller System (TAMU-P), which is a guided miniature munitions system that can be dropped from cargo and fighter planes, helicopters, Unmanned Aerial Vehicles (UAVs), portable small UAV (Drones) type vehicles or launcher land platforms such as mortars, can aim at the target position by means of the propellers placed at 120-degree intervals and perpendicular to the ammunition body with the help of GPS / INS or Laser seeker by getting to a vertical position by creating a parachute effect when the flaps on the rear of the ammunition open shortly after being launched and can even engage the target by tracking it at very low speeds.

The invention discloses a low-cost intelligent terminal satellite and inertial integrated precise point positioning method and device, and belongs to the technical field of navigation positioning. The method comprises the following steps: aiming at the problem that the pseudo-range inter-frequency deviation of the low-cost terminal is large and gradually varied, carrying out deviation estimation and correction by adopting a semi-parameter estimation and compensation least square method; for observation value abnormity and deletion, RAIM and LSTM are fused to construct an early warning-recovery-verification closed loop mechanism; aiming at a dual-frequency and single-frequency observation value coexistence scene, a mixed ionosphere delay processing strategy is adopted, and differential correction is realized through ionosphere elimination combination and GIM constraint; aiming at the problem of combination switching lag, constructing a fuzzy-neural network adaptive decision model, and dynamically selecting a GNSS / INS combination mode based on multi-dimensional features; and position parameter estimation and post-processing are realized through an integrated algorithm framework. According to the invention, high-precision and high-robustness precise point positioning is realized under the condition of low-cost hardware.

The invention belongs to the technical field of road traffic safety, and discloses an autonomous road traffic system vehicle rollover risk early warning method and system, and the method comprises the steps: collecting the kinetic parameters, road parameters and environmental parameters of an autonomous vehicle; based on GPS / INS positioning data, in combination with a roadside unit collaborative awareness technology, space-time synchronization and dynamic mapping of a vehicle planning track and road environment parameters are carried out, and a space-time coupling sequence used for rollover prediction is constructed; calculating a real-time rollover risk index according to the four-wheel load obtained by the data of the vehicle detector; according to the real-time rollover risk index, taking the kinetic parameters, the road parameters and the environmental parameters of the current vehicle as input, and adopting an extreme random tree algorithm to predict a rollover risk index value in a future preset time; and judging a rollover risk level according to the predicted rollover risk index value, and outputting early warning information for an autonomous road traffic system to perform safety control and path adjustment.