Sun, 06 Jul 2008 11:04:45 BST CiteULike: dcastros filters http://www.citeulike.org/user/dcastro/tag/filters CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/dcastro/article/1915048 <i>Microwave Symposium Digest, 2003 IEEE MTT-S International, Vol. 3 (2003), pp. 1889-1892 vol.3.</i><br /><br />Novel resonators composed of double-spiral inductors and interdigital capacitors are developed, which not only are compact in size but also have no harmonics up to three times of the fundamental frequency. The center frequency is insensitive to the thickness of the substrate. A miniature seven-pole narrow-band HTS bandpass microstrip filter has been designed, fabricated and tested for an astronomy observation application, which requires a center frequency at 610 MHz and 0.82% fractional bandwidth. The computed and measured results are found in excellent agreement. Superconducting microstrip filters using compact resonators with double-spiral inductors and interdigital capacitors Jiafeng Zhou MJ Lancaster F Huang Microwave Symposium Digest, 2003 IEEE MTT-S International, Vol. 3 (2003), pp. 1889-1892 vol.3. 2007-11-14T17:46:09-00:00 2003 Microwave Symposium Digest, 2003 IEEE MTT-S International 3 1889 1892 vol.3 capacitor filters inductor interdigital microstrip http://www.citeulike.org/user/dcastro/article/1691407 <i>Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 50, No. 2. (2002), pp. 425-437.</i><br /><br />A framework for positioning, navigation, and tracking problems using particle filters (sequential Monte Carlo methods) is developed. It consists of a class of motion models and a general nonlinear measurement equation in position. A general algorithm is presented, which is parsimonious with the particle dimension. It is based on marginalization, enabling a Kalman filter to estimate all position derivatives, and the particle filter becomes low dimensional. This is of utmost importance for high-performance real-time applications. Automotive and airborne applications illustrate numerically the advantage over classical Kalman filter-based algorithms. Here, the use of nonlinear models and non-Gaussian noise is the main explanation for the improvement in accuracy. More specifically, we describe how the technique of map matching is used to match an aircraft's elevation profile to a digital elevation map and a car's horizontal driven path to a street map. In both cases, real-time implementations are available, and tests have shown that the accuracy in both cases is comparable with satellite navigation (as GPS) but with higher integrity. Based on simulations, we also argue how the particle filter can be used for positioning based on cellular phone measurements, for integrated navigation in aircraft, and for target tracking in aircraft and cars. Finally, the particle filter enables a promising solution to the combined task of navigation and tracking, with possible application to airborne hunting and collision avoidance systems in cars Particle filters for positioning, navigation, and tracking F Gustafsson F Gunnarsson N Bergman U Forssell J Jansson R Karlsson PJ Nordlund doi:10.1109/78.978396 Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 50, No. 2. (2002), pp. 425-437. 2007-09-25T03:56:54-00:00 2002 Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] 50 2 425 437 filters navigation particle positioning