Impact of terrain factors on the matching performance of terrain‐aided navigation

Abstract

Aiming at describing terrain variation in an easily understandable way, a new method is proposed to describe the terrain elevations quantitatively by factor analysis for terrain‐aided navigation. After as many terrain factors as possible are collected describing the terrain elevations from various aspects, they are simplified by correlation to remove the redundant factors. The simplified terrain factors are processed to derive the extracted factors by principal component analysis. With such factor analysis, three extracted factors dubbed “variation,” “similarity,” and “information” are derived in the conceptual level. A classifier is derived by logistic regression using the extracted factors. The percentages of the correct classification are very high both for the suitable and the unsuitable regions of matching in two maps, which proves the effectiveness of the extracted factors for the terrain elevations.

Editorial: In this issue

“…A classifier is derived by logistic regression using the extracted factors. The percentages of the correct classification are very high both for the suitable and the unsuitable regions of matching in two maps, which proves the effectiveness of the extracted factors for the terrain elevations …”

“…The percentages of the correct classification are very high both for the suitable and the unsuitable regions of matching in two maps, which proves the effectiveness of the extracted factors for the terrain elevations. 11 ADAPTIVE COVARIANCE ESTIMATION OF LiDAR-BASED POSITIONING ERRORS FOR UAVs illustrates how additional on-board sensors such as Light Detection and Ranging (LiDAR) are desirable to aid positioning. To fuse measurements from different sensors, it is important to accurately characterize the error covariance matrices of individual sensor measurements.…”

Design and Analysis of Navigation Computer Data Communication Based on DSP

“…Third, good confidentiality. In the design of relevant system software, confidentiality is one of the key indicators to measure its application value [5]. DSP, FPGA and other devices in DSP system have good confidentiality performance, which can improve the security of system data information.…”

Adaptive region tracking control for underwater vehicles with large initial deviation and general uncertainty

“…14,25 The desired trajectories are expressed as follows Straight line : y h ð Þ ¼ 0:02t; 0:02t; 0:001t; 0; 0; 0 The thruster thrust amplitude limit is +100N . With the reference, 26 the initial position of the AUV is appropriately set to h 0 ð Þ ¼ À0:5; À0:5; À0:5; 0; 0; 0 ½ T . And the initial position of the center trajectory of the desired region is set to h d 0 ð Þ ¼ 0; 0; 0; 0; 0; 0 ½ T .…”