By Jing-bo He, Sheng-liang Hu, Zhong Liu (auth.), Xingui He, Ertian Hua, Yun Lin, Xiaozhu Liu (eds.)
The convention on computing device, Informatics, Cybernetics and purposes 2011 goals to facilitate an trade of knowledge on top practices for the most recent examine advances within the sector of desktop, informatics, cybernetics and functions, which as a rule comprises machine technological know-how and engineering, informatics, cybernetics, keep watch over platforms, verbal exchange and community platforms, applied sciences and functions, others and rising new topics.
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Additional info for Computer, Informatics, Cybernetics and Applications: Proceedings of the CICA 2011
It is explained that we discuss the single observer passive location tracking problem in the two dimensions and three dimensions’ can be discussed the same as these. 1 The Algorithm Based on LMS for Single Observer Passive Location Tracking In Fig. 1, the position relation between single observer and emitter is indicated. According to the geometry yt À y0 ð1:3Þ tgh ¼ xt À x0 This yields yt cos h À xt sin h ¼ y0 cos h À x0 sin h ð1:4Þ And according to the emitter velocity (vx , vy ), we can get the prediction equation: xt ¼ xtÀ1 þ vx Á T ð1:5Þ yt ¼ ytÀ1 þ vy Á T Here xt , yt state vector at time t; xtÀ1 , ytÀ1 state vector at time t À 1; T sampling interval.
The standard deviation of the acceleration errors is set at (5910-2 m/s2, 5910-2 m/s2, 5910-2 m/s2). 02 s. The block CMKF algorithm and SCMKF algorithm are applied to estimate the spherical position of the target. 00 GB) to compare their performances in terms of time consumption and estimation accuracy. A Monte Carlo simulation of 100 runs is carried out to obtain the averaged estimation errors in spherical position. Because of space limit, only the simulation 3 A Sequential Processing Method 25 (a) Averaged Azimuth Error (') 70 60 Block Processing Sequential Processing 50 40 30 20 10 0 -10 -20 -30 0 1 2 3 4 5 6 7 8 9 10 9 10 Time (s) (b) Averaged Azimuth Error (') 350 300 Block Processing Sequential Processing 250 200 150 100 50 0 -50 -100 -150 0 1 2 3 4 5 Time (s) 6 7 8 Averaged Azimuth Error (') (c) 600 500 Block Processing Sequential Processing 400 300 200 100 0 -100 -200 -300 0 1 2 3 4 5 Time (s) 6 7 8 9 10 Fig.
Signal and data processing of small targets 2008. In: Proceedings of SPIE, vol 6969. pp 1–12 15. Ritter LJ, Weir B (2007) The effect of various filters on covariance consistency in the presence of a nonlinear tracking problem. Signal and data processing of small targets 2007. In: Proceedings of SPIE, vol 6699. pp 1–12 16. Mei W, Bar-Shalom Y (2009) Unbiased Kalman filter using converted measurements: revisit. Signal and data processing of small targets 2009. In: Proceedings of SPIE, vol 7445. pp 1–9 17.