Micro Aerial Vehicles for autonomous explorations of hazardous areas are predestined to support emergency and rescue forces. Especially the autonomous access to buildings is highly demanding due to insufficient GNSS reception in urban terrain and narrow passageways into buildings. Thus, this paper presents a complete flight system, consisting of guidance, navigation and control subsystems. All these elements are designed to enable save flights into buildings. The guidance subsystem is divided into two parts. The vison based guidance part is manoeuvring the MAV on an intermediate position in front of the building. The potential field based guidance part enables the MAV to fly inside the buildings without having any collisions. For that, neither any prior knowledge about the building’s structure, nor any maps are necessary. To provide the flight guidance with information about the actual kinematic state of the MAV an accurate and robust navigation system not depending on GNSS measurements is used. The complete system is evaluated using simulated flight data.

The directions of the orientation and stabilization system (OSS) development of space vehicles (SVs) of various purposes are considered. The requirements applied to SVs OSS are resulted. The development state of the domestic star trackers, inertial measuring instruments and onboard computing systems, and also problems and prospects of their further development for SVs OSS is considered.

The paper presents the measurement information model with typical measurement noises. The paper estimates the determination errors of noise characteristics in cases of the assignment of some noise combinations according to the Allan variance method. The paper examines an acquisition method of polynomial approximant coefficients of the Allan variance curve by means of the multiparametric nonlinear optimization introduced by the nonlinear objective function.

An algorithm for regular and stationary random components of Strapdown INS an-gular velocity measurements error extraction by dithered laser gyros is proposed. The regular component is approximated by one fixed and two exponential time functions with different damping rates (fig. 2). Frequency analysis of the error ran-dom component in actual data of some systems (fig. 1) showed the growth of sig-nal spectral density along with the frequency growth in low-frequency region (fig. 3). It is shown that polynomial filters pass random high-frequency components far less then arithmetical average calculating filters, and provide for reduction of laser gyro drift estimation error (fig.4).

The paper deals with the version of transport accurate positioning navigation and information system using the budget GNSS equipment and the ground-based infrastructure of GLONASS. Navigation and information system bears complete nature, it consists of structurally complementary units and provides decimeter positioning accuracy.

The article gives a description of the machine vision system applicable for navigation and mapping. The device is based on the stereo system. The paper describes the software details and the library that are used for calculation and visualization purposes. The authors piloted computer vision calibration method by using a pair of images with several calibration patterns. In conclusion, the results of the system work on 3DMap construction are provided, and the equipment configuration, used to assess the accuracy of navigation parameters is described.

The paper focuses on four problems of GNSS measurement processing. The difficulty of problems lies in large volume of available data and limited resources of onboard equipment (phase measurement ambiguity resolution, fault detection and isolation); or in insufficient volume and fragmentarity of data (multiantenna heading determination in constrained conditions, navigation of geostationary satellites). Theoretical foundations of proposed solutions are given. Experimental results are provided.

It has been suggested to compensate the signal absence and transmission delay of differential corrections in the real-time system (Real Time Differential GPS, RTDGPS) by estimating future values of the pseudorange corrections (PRC). Recurrent neural network (RNN) and genetic algorithm (GA) are used for the estimation. RTDGPS system using two inexpensive receivers in reference and user stations has been considered. Simulation and experimental results presented indicate that predicting the PRC future values improves RTDGPS accuracy.

A new mathematical software set for gravimeter «Chekan-AM» is discussed. The structure of the mathematical software consisting of both real-time programs and post-processing program set is given. The main algorithms and features of data processing applied to data obtained when carrying out marine and gravimetric surveys with gravimeter «Chekan –AM» are presented.

A new mathematical software set for gravimeter “Chekan-AM” is discussed. The structure of the mathematical software consisting of both real-time programs and post-processing program set is given. The main algorithms and features of data processing applied to data obtained when carrying out marine and gravimetric surveys with gravimeter “Chekan –AM” are presented.