naa a22 4500 510774288 CHVBK 20180411083225.0 cr unu---uuuuu 180411e20131201xx s 000 0 eng 10.1007/s40295-015-0063-z doi (NATIONALLICENCE)springer-10.1007/s40295-015-0063-z Batch-Form Solutions to Optimal Input Signal Recovery in the Presence of Noises [Elektronische Daten] [Ping Lin, Minh Phan, Stephen Ketcham] This paper studies the problem of optimally recovering the input signals to a linear time-invariant system in the presence of input and measurement noises. The emphasis is on batch-form solutions which are suitable for short-duration large-domain signal propagation applications. The system, the input and measurement noise covariances, the noise-corrupted output signals are assumed known, and we seek to recover the input signals that enter the system prior to being corrupted by input noise. The input signal recovery is optimal in the sense that the optimal Kalman filter residual is correctly recovered from the given information. Various solution techniques are considered and a weighted least-squares solution is found to be the simplest and most practical in short-duration signal recovery applications. American Astronautical Society, 2015 Input identification nationallicence OKID nationallicence ARX model nationallicence Unit pulse response model nationallicence Short-duration large-domain signal recovery nationallicence Lin Ping Thayer School of Engineering, Dartmouth College, 03755, Hanover, NH, USA aut Phan Minh Thayer School of Engineering, Dartmouth College, 03755, Hanover, NH, USA aut Ketcham Stephen Signature Physics Branch, Cold Regions Research and Engineering Laboratory, U.S. Army Engineer Research and Development Center, 72 Lyme Rd., 03755, Hanover, NH, USA aut The Journal of the Astronautical Sciences Springer US; http://www.springer-ny.com 60/3-4(2013-12-01), 654-671 0021-9142 60:3-4<654 2013 60 40295 https://doi.org/10.1007/s40295-015-0063-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s40295-015-0063-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lin Ping Thayer School of Engineering, Dartmouth College, 03755, Hanover, NH, USA aut NATIONALLICENCE 700 1- Phan Minh Thayer School of Engineering, Dartmouth College, 03755, Hanover, NH, USA aut NATIONALLICENCE 700 1- Ketcham Stephen Signature Physics Branch, Cold Regions Research and Engineering Laboratory, U.S. Army Engineer Research and Development Center, 72 Lyme Rd., 03755, Hanover, NH, USA aut NATIONALLICENCE 773 0- The Journal of the Astronautical Sciences Springer US; http://www.springer-ny.com 60/3-4(2013-12-01), 654-671 0021-9142 60:3-4<654 2013 60 40295 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer