Tài liệu Tracking and Kalman filtering made easy P4 docx
... is, Y n ¼ y 0 y 1 . . . y r 2 6 6 6 6 4 3 7 7 7 7 5 n ð4:1-1aÞ X n ¼ x 0 ðtÞ x 1 ðtÞ . . . x mÀ1 ðtÞ 2 6 6 6 6 4 3 7 7 7 7 5 ð4:1-1bÞ 155 Tracking and Kalman Filtering Made Easy. Eli Brookner Copyright # 1998 John Wiley & Sons, Inc. ISBNs: 0-471-18407-1 ... g–h growing-memory (expanding- memory) filter whose weights g and h are given by (1.2-38a and 1.2-38b). The g–h filter i...
Ngày tải lên: 14/12/2013, 14:15
... dynamics model with some randomness. This model is called the constant-velocity trajectory model with a random-walk velocity. 64 Tracking and Kalman Filtering Made Easy. Eli Brookner Copyright ... Y n and X Ã n;n and between X Ã n;nÀ1 and X Ã n;n . Again the weighting of these errors will be made according to their importance. The more important an error is, the smaller it...
Ngày tải lên: 14/12/2013, 14:15
... g n Þþy n g n ð1:2-12Þ Figure 1.2-3 Filtering problem. Esti- mate of x à n;n based on measurement y n and prediction x à n;nÀ1 . 22 g–h AND g–h–k FILTERS 1 g–h AND g–h–k FILTERS 1.1 WHY TRACKING AND PREDICTION ARE ... proper association of the echo from target 1 on the second scan with the echo from 3 Tracking and Kalman Filtering Made Easy. Eli Brookner Copyright # 199...
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Tài liệu Tracking and Kalman filtering made easy P3 pdf
... be the case in Figure 3.1-1 for spiky sea clutter, rain clutter, lognormal 111 Tracking and Kalman Filtering Made Easy. Eli Brookner Copyright # 1998 John Wiley & Sons, Inc. ISBNs: 0-471-18407-1 ... and match filtering and then discuss the effects of using such a waveform on tracking accuracy. 3.5.1 Chirp Waveform, Pulse Compression, Match Filtering of Chirp Waveform, a...
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Tài liệu Tracking and Kalman filtering made easy P5 ppt
... insight into the Legendre orthogonal polynomial fit approach will be obtained. 205 Tracking and Kalman Filtering Made Easy. Eli Brookner Copyright # 1998 John Wiley & Sons, Inc. ISBNs: 0-471-18407-1 ... matrix and their derivatives are small in the observation interval and increase monotonically outside; see Figures 5.8-2 and 5.8-3. Because the systematic errors and thei...
Ngày tải lên: 14/12/2013, 14:15
Tài liệu Tracking and Kalman filtering made easy P6 ppt
... obtained when using a short memory for the fading-memory filter discussed in Chapter 7. 233 Tracking and Kalman Filtering Made Easy. Eli Brookner Copyright # 1998 John Wiley & Sons, Inc. ISBNs: 0-471-18407-1 ... disadvantages are the expanding-memory filter and the fading memory filter. The expanding memory filter is, as discussed in Section 1.2.10 and later in Section 7.6, sui...
Ngày tải lên: 24/12/2013, 01:17
Tài liệu Tracking and Kalman filtering made easy P7 pdf
... achieved using a discounted, least-squares weighting as done in (1.2-34); that is, we 239 Tracking and Kalman Filtering Made Easy. Eli Brookner Copyright # 1998 John Wiley & Sons, Inc. ISBNs: 0-471-18407-1 ... y nÀ2 , r ¼ 2 and r ¼ 2 , and the error for this time sample can even be bigger, and so forth. Thus with this weighting the errors relative to the fitting polyno...
Ngày tải lên: 24/12/2013, 01:17
Tài liệu Tracking and Kalman filtering made easy P8 ppt
... d and the transition matrix is a generalized form of (5.4-7). Note that in this text d represents the true degree of the target dynamics while m is the degree used by 252 Tracking and Kalman Filtering ... degree of the target dynamics while m is the degree used by 252 Tracking and Kalman Filtering Made Easy. Eli Brookner Copyright # 1998 John Wiley & Sons, Inc. ISBNs:...
Ngày tải lên: 24/12/2013, 01:17
Tài liệu Tracking and Kalman filtering made easy P9 pdf
... minimum-variance estimate X Ã nþ1;nþ1 from the set of data consisting of Y ðnÞ 260 Tracking and Kalman Filtering Made Easy. Eli Brookner Copyright # 1998 John Wiley & Sons, Inc. ISBNs: 0-471-18407-1 ... Kalman filter can lead to computational problems for the Kalman filter [5, Section 12.4]. This form of the Kalman filter is not generally used for this reason, and it is no...
Ngày tải lên: 24/12/2013, 01:17
Tài liệu Tracking and Kalman filtering made easy P10 pptx
... and also from (4.3-16) and (4.3-17) and reference 79 (p. 57), that F T F ¼ I ¼ FF T ð10:2-1Þ and F À1 ¼ F T ð10:2-2Þ Also kFYk¼kYkð10:2-3Þ where kk is the Euclidean norm defined by (4.2-40) and ... space of F. From (10.2-8) and (10.2-9), and 272 VOLTAGE LEAST-SQUARES ALGORITHMS REVISITED Define F 1 and F 2 as the matirces formed by, respectively, the first m 0 rows of F and re...
Ngày tải lên: 24/12/2013, 01:17