Mean square deviations &, and 8(V) dependence on signal/noise
ratio, obtained according to (3) and as a result of simulation
accordingly, are presented in Table 2. Furthermore, standard
deviation of distance determination error corresponding to
values of & and &(V) at use of expressions (6)-(7), and also the
total error calculated by (11), are presented in the same table.
Tabn.2.
A/AN S(&)e | 8(R)m | &(V)m/e | SDV) | SDgm
M
10 0.8-10° 2.4 0.25.10" 0.38 2.43
15 0.65-10* 2.0 0.21.10" 0.31 2.02
20 0.56.10? 1.7 0.17.19" 0.25 1.72
From Table 2 it follows, that the distance determination errors,
originated from inaccuracy of the velocity determination, are
insignificant in comparison with the errors caused by inaccuracy
of measurement of pulse-delay time.
Mathematical simulation allowed:
e to choose rational structure of processing algorithms and to
confirm their efficiency;
e to choose optimum values of factors of a filtration 4, and
k», that minimize an error of distance determination by a
minimax criterion;
e to define time of transient in a velocity measurement loop;
e to estimate values of errors of distance determination and
vehicle own velocity determination.
Lu
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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B1. Istanbul 2004
CONCLUSIONS
1. The developed algorithms allow:
e to carry out fine tuning of radio oscillator in real time with
frequency of 100 Hz;
e to determine vehicle own velocity with high accuracy;
e to form distance image of a scene reduced to a motionless
point in the Cartesian system of coordinates;
e to maintain a dynamic range of system at the set level
regardless of the vehicle velocity.
. The carried out mathematical simulation allowed
Do
e to optimize structure of algorithm and values of its
parameters by criterion of minimization of the maximal
error of distance determination;
e to estimate values of standard deviation of the distance
determination errors, caused by inaccuracy of velocity
determination which amount to 0.25 — 0.38 m;
e to estimate values of standard deviation of vehicle own
velocity determination errors which amount to 0.17.1051
0.25-107' m/c.
REFERENCES
Stephan, B., 1985. Field tests and performance analysis a
heterodyne C0,—laser radar. Proceeding of the SPIE. Vol. 590.
Dansac, J., Meyzomnette, J. L., 1985. CO.-laser Doppler
rangefinding with heterodyne detection and chirp pulse
compression. Proceeding of the SPIE. Vol. 590.
Skolnik, M. L, 1970. Radar handbook. McGraw-Hill.
——nÀ
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Figure 3. Dependence of the maximal distance error AD,,4, on values of factors K, and Æ.
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