| Description |
1 online resource (xxii, 477 pages) : illustrations |
| Contents |
G-h and g-h-k filters -- Kalman filter -- Practical issues for radar tracking -- Least-squares and minimum-variance estimates for linear time-invariant systems -- Fixed-memory polynomial filter -- Expanding-memory (growing-memory) polynomial filters -- Fading-memory (discounted least-squares) filter -- General form for linear time-invariant system -- General recursive minimum-variance growing-memory filter (Bayes and Kalman filters without target process noise) -- Voltage least-squares algorithms revisited -- Givens orthonormal transformation -- Householder orthonormal transformation -- Gram-Schmidt orthonormal transformation -- More on voltage-processing techniques -- Linear time-variant system -- Nonlinear observation scheme and dynamic model (extended Kalman filter) -- Bayes algorithm with iterative differential correction for nonlinear systems -- Kalman filter revisited |
| Analysis |
Antennas propagation |
| Notes |
"A Wiley-Interscience publication." |
| Bibliography |
Includes bibliographical references (pages 456-463) and index |
| Notes |
Print version record |
| Subject |
Electric filters -- Mathematics.
|
|
Kalman filtering.
|
|
Tracking radar -- Mathematics.
|
| Form |
Electronic book
|
| Author |
John Wiley & Sons.
|
| ISBN |
0471184071 (cloth ; alk. paper) |
|
0471224197 (electronic bk.) |
|
9780471184072 (cloth ; alk. paper) |
|
9780471224198 (electronic bk.) |
|
