By Mirsad Hadžikadić, Samir Avdaković
This quantity spans quite a lot of technical disciplines and applied sciences, together with advanced structures, biomedical engineering, electric engineering, power, telecommunications, mechanical engineering, civil engineering, and desktop technological know-how. The papers integrated during this quantity have been offered on the overseas Symposium on leading edge and Interdisciplinary purposes of complex applied sciences (IAT), held in Neum, Bosnia and Herzegovina on June 26 and 27, 2016. This hugely interdisciplinary quantity is dedicated to varied elements and kinds of platforms. platforms pondering is important for effectively construction and knowing man-made, average, and social platforms.
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Extra info for Advanced Technologies, Systems, and Applications
Our methodology is applicable to other defense as well as commercial areas, such as trafﬁc control and possible facial recognition also. 2 Target Signature Data Base Basic target and sensor platform geometry is given in Fig. 1. In  we used three signatures for analysis, and they are repeated here as a reference in Fig. 2 (raw continuous data) and Fig. 3 (16 digitized signature values). In  we expanded our spatial analysis to many more targets, digitization was at the level of 32 and 64 data points, and we also deﬁned a synthetic target as a reference in statistical testing.
In general, this still does not mean we found the correct pose, it is an initial estimate only. More statistical tests can be done to ﬁnd the correct pose. We check the result (pose 225) by comparing X and Y signature variances. Without going into the details, we obtain the same pose 225 estimate. At this point we can continue with more statistical tests to ﬁne tune the estimate to correct pose 224 or be satisﬁed with estimate at 225. For the real signatures there may be some additional pose estimation errors hence more tests could be required.
For example we correlate X(1, j) with X(2, j), then with X (3, j), and with X(4, j), assuming the same pose angle j, against independence or uncorrelated (orthogonal) assumption. Each of correlations produces an envelope for 274 poses, for total of 4 envelopes. In view of that, we use cross covariance and correlations to test lack of correlation, and also classic Chi-square and newly introduced Brownian Distance Covariance , to test for independence among various target signatures. Also, when a “real time” target signature is acquired, it will also be tested against all other four sets of stored target signatures.
Advanced Technologies, Systems, and Applications by Mirsad Hadžikadić, Samir Avdaković