scholarly journals Systematic Error Correction for Geo-Location of Airborne Optoelectronic Platforms

2021 ◽  
Vol 11 (22) ◽  
pp. 11067
Author(s):  
Hui Sun ◽  
Hongguang Jia ◽  
Lina Wang ◽  
Fang Xu ◽  
Jinghong Liu
Keyword(s):  
Systematic Error ◽  
Error Correction ◽  
Simulation Analysis ◽  
Correction Method ◽  
Least Square ◽  
Location Error ◽  
Location Accuracy ◽  
Photoelectric Equipment ◽  
Error Correction Method ◽  
The Mean

In order to improve the geo-location accuracy of the airborne optoelectronic platform and eliminate the influence of assembly systematic error on the accuracy, a systematic geo-location error correction method is proposed. First, based on the kinematic characteristics of the airborne optoelectronic platform, the geo-location model was established. Then, the error items that affect the geo-location accuracy were analyzed. The installation error between the platform and the POS was considered, and the installation error of platform’s pitch and azimuth was introduced. After ignoring higher-order infinitesimals, the least square form of systematic error is obtained. Therefore, the systematic error can be obtained through a series of measurements. Both Monte Carlo simulation analysis and in-flight experiment results show that this method can effectively obtain the systematic error. Through correction, the root-mean-square value of the geo-location error have reduced from 45.65 m to 12.62 m, and the mean error from 16.60 m to 1.24 m. This method can be widely used in systematic error correction of relevant photoelectric equipment.

scholarly journals A Novel Error Correction Approach to Improve Standard Point Positioning of Integrated BDS/GPS

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6162
Author(s):  
Luyao Du ◽  
Jing Ji ◽  
Zhonghui Pei ◽  
Wei Chen
Keyword(s):  
Kalman Filter ◽  
Error Correction ◽  
Least Square Method ◽  
Correction Method ◽  
Least Square ◽  
Experimental Results ◽  
Positioning Error ◽  
Weighted Least Square ◽  
Error Correction Method ◽  
Point Positioning

To improve the standard point positioning (SPP) accuracy of integrated BDS (BeiDou Navigation Satellite System)/GPS (Global Positioning System) at the receiver end, a novel approach based on Long Short-Term Memory (LSTM) error correction recurrent neural network is proposed and implemented to reduce the error caused by multiple sources. On the basis of the weighted least square (WLS) method and Kalman filter, the proposed LSTM-based algorithms, named WLS–LSTM and Kalman–LSTM error correction methods, are used to predict the positioning error of the next epoch, and the prediction result is used to correct the next epoch error. Based on the measured data, the results of the weighted least square method, the Kalman filter method and the LSTM error correction method were compared and analyzed. The dynamic test was also conducted, and the experimental results in dynamic scenarios were analyzed. From the experimental results, the three-dimensional point positioning error of Kalman–LSTM error correction method is 1.038 m, while the error of weighted least square method, Kalman filter and WLS–LSTM error correction method are 3.498, 3.406 and 1.782 m, respectively. The positioning error is 3.7399 m and the corrected positioning error is 0.7493 m in a dynamic scene. The results show that the LSTM-based error correction method can improve the standard point positioning accuracy of integrated BDS/GPS significantly.

Design of a temperature error correction method used for meteorology and climate research

2021 ◽  
Vol 263 ◽  
pp. 105817
Author(s):  
Jie Yang ◽  
Qingquan Liu ◽  
Gaoying Chen ◽  
Xuan Deng ◽  
Li Zhang
Keyword(s):  
Error Correction ◽  
Correction Method ◽  
Temperature Error ◽  
Climate Research ◽  
Error Correction Method

scholarly journals Performance of the FMI cosine error correction method for the Brewer spectral UV measurements

2018 ◽  
Vol 11 (9) ◽  
pp. 5167-5180 ◽  
Author(s):  
Kaisa Lakkala ◽  
Antti Arola ◽  
Julian Gröbner ◽  
Sergio Fabian León-Luis ◽  
Alberto Redondas ◽  
...  
Keyword(s):  
Error Correction ◽  
Correction Method ◽  
Uv Spectra ◽  
Correction Coefficient ◽  
Finnish Meteorological Institute ◽  
Angular Response ◽  
Error Correction Method ◽  
Radiation Distribution ◽  
Rapid Changes ◽  
Relative Differences

Abstract. Non-ideal angular response of a spectroradiometer is a well-known error source of spectral UV measurements and for that reason instrument specific cosine error correction is applied. In this paper, the performance of the cosine error correction method of Brewer spectral UV measurements in use at the Finnish Meteorological Institute (FMI) is studied. Ideally, the correction depends on the actual sky radiation distribution, which can change even during one spectral scan due to rapid changes in cloudiness. The FMI method has been developed to take into account the changes in the ratio of direct to diffuse sky radiation and it derives a correction coefficient for each measured wavelength. Measurements of five Brewers were corrected for the cosine error and the results were compared to the reference travelling spectroradiometer (QASUME). Measurements were performed during the RBCC-E (Regional Brewer Calibration Center – Europe) X Campaign held at El Arenosillo, Huelva (37∘ N, 7∘ W), Spain, in 2015. In addition, results of site audits of FMI's Brewers in Sodankylä (67∘ N, 27∘ E) and Jokioinen (61∘ N, 24∘ E) during 2002–2014 were studied. The results show that the spectral cosine error correction varied between 4 and 14 %. After that the correction was applied to Brewer UV spectra the relative differences between the QASUME and the Brewer diminished even by 10 %. The study confirms that the method, originally developed for measurements at high latitudes, can be used at mid-latitudes as well. The method is applicable to other Brewers as far as the required input parameters, i.e. total ozone, aerosol information, albedo, instrument specific angular response and slit function are available.

scholarly journals Burst Error Correction Method Based on Arithmetic Weighted Checksums

Engineering ◽  
2012 ◽  
Vol 04 (11) ◽  
pp. 768-773 ◽  
Author(s):  
Saleh Al-Omar ◽  
Atef Obeidat
Keyword(s):  
Error Correction ◽  
Correction Method ◽  
Burst Error ◽  
Error Correction Method
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