Design and Implementation of the Tightly-Coupled SINS / GPS Integrated Navigation System Based on FPGA for Target Missile

Guo, Jing; Cai, Xiao; He, Chao

doi:10.4028/www.scientific.net/amm.313-314.287

Cited by 2 publications

(4 citation statements)

References 4 publications

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“…Finally other FPGAs applications in this list includes Hardware-In-the-Loop (HIL) [34,1115,[1276][1277][1278][1279][1280][1281][1282], GPS (Global Positioning System) [1283][1284][1285][1286][1287][1288][1289][1290][1291][1292][1293][1294][1295][1296][1297][1298], Positron Emission Tomography (PET) , bioinformatics [1325][1326][1327][1328][1329][1330][1331][1332][1333][1334][1335][1336][1337][1338][1339][1340][1341][1342], fuzzy logic [1343][1344][1345][1346][1347]…”

Section: Other Applicationsmentioning

confidence: 99%

Field Programmable Gate Array Applications—A Scientometric Review

2019

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Field Programmable Gate Array (FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems on chip or even artificial intelligence systems. Scientific publications related to FPGA started in 1992 and, up to now, we found more than 70,000 documents in the two leading scientific databases (Scopus and Clarivative Web of Science). These publications show the vast range of applications based on FPGAs, from the new mechanism that enables the magnetic suspension system for the kilogram redefinition, to the Mars rovers’ navigation systems. This paper reviews the top FPGAs’ applications by a scientometric analysis in ScientoPy, covering publications related to FPGAs from 1992 to 2018. Here we found the top 150 applications that we divided into the following categories: digital control, communication interfaces, networking, computer security, cryptography techniques, machine learning, digital signal processing, image and video processing, big data, computer algorithms and other applications. Also, we present an evolution and trend analysis of the related applications.

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Section: Other Applicationsmentioning

confidence: 99%

Field Programmable Gate Array Applications—A Scientometric Review

2019

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“…Petovello investigated extending the integration time for enhancing the weak signal tracking [13,14]. Apart from enhancing the standalone receiver's performance, integrating the GPS with other sensors has been one of the most promising and effective methods, especially the GPS/SINS integration [15][16][17][18][19][20][21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

“…When the GPS is unavailable attenuated, the SINS can provide short-term accurate navigation solutions instead of the GPS. Moreover, for dynamic applications, the SINS can provide navigation solutions at higher rate, which can fill the gap between GPS information and smooth the navigation solutions [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, researchers are attracted to improve and enhance GPS/SINS integration system performance. Generally, there are two extensive approaches: modifying the integration model or modifying the integration filter [17][18][19][20][21][22]. As aforementioned, GPS/SINS integration can be divided into three modes: loose, tight, and ultratight integration (LI, TI, and UTC).…”

Section: Introductionmentioning

confidence: 99%

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A New Efficient Filtering Model for GPS/SINS Ultratight Integration System

Wang

Jiang

2020

Mathematical Problems in Engineering

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Global Positioning System (GPS) and strap-down inertial navigation system (SINS) are recognized as highly complementary and widely employed in the community. The GPS has the advantage of providing precise navigation solutions without divergence, but the GPS signals might be blocked and attenuated. The SINS is a totally self-contained navigation system which is hardly disturbed. The GPS/SINS integration system could utilize the advantages of both the GPS and SINS and provide more reliable navigation solutions. According to the data fusion strategies, the GPS/SINS integrated system could be divided into three different modes: loose, tight, and ultratight integration (LI, TI, and UTC). In the loose integration mode, position and velocity difference from the GPS and SINS are employed to compose measurement vector, in which the vector dimension has nothing to do with the amount of the available satellites. However, in the tight and ultratight modes, difference of pseudoranges and pseudorange rates from the GPS and SINS are employed to compose the measurement vector, in which the measurement vector dimension increases with the amount of available satellites. In addition, compared with the loose integration mode, clock bias and drift are included in the integration state model. The two characteristics magnify the computation load of the tight and ultratight modes. In this paper, a new efficient filter model was proposed and evaluated. Two schemes were included in this design for reducing the computation load. Firstly, a difference between pseudorange measurements was determined, by which clock bias and drift were excluded from the integration state model. This step reduced the dimension of the state vector. Secondly, the integration filter was divided into two subfilters: pseudorange subfilter and pseudorange rate subfilter. A federated filter was utilized to estimate the state errors optimally. In the second step, the two subfilters could run in parallel and the measurement vector was divided into two subvectors with lower dimension. A simulation implemented in MATLAB software was conducted to evaluate the performance of the new efficient integration method in UTC. The simulation results showed that the method could reduce the computation load with the navigation solutions almost unchanged.

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Design and Implementation of the Tightly-Coupled SINS / GPS Integrated Navigation System Based on FPGA for Target Missile

Cited by 2 publications

References 4 publications

Field Programmable Gate Array Applications—A Scientometric Review

Field Programmable Gate Array Applications—A Scientometric Review

A New Efficient Filtering Model for GPS/SINS Ultratight Integration System

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