A CS Recovery Algorithm for Model and Time Delay Identification of MISO-FIR Systems
AbstractThis paper considers identifying the multiple input single output finite impulse response (MISO-FIR) systems with unknown time delays and orders. Generally, parameters, orders and time delays of an MISO system are separately identified from different algorithms. In this paper, we aim to perform the model identification and time delay estimation simultaneously from a limited number of observations. For an MISO-FIR system with many inputs and unknown input time delays, the corresponding identification model contains a large number of parameters, requiring a great number of observations for identification and leading to a heavy computational burden. Inspired by the compressed sensing (CS) recovery theory, a threshold orthogonal matching pursuit algorithm (TH-OMP) is presented to simultaneously identify the parameters, the orders and the time delays of the MISO-FIR systems. The proposed algorithm requires only a small number of sampled data compared to the conventional identification methods, such as the least squares method. The effectiveness of the proposed algorithm is verified by simulation results. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Liu, Y.; Tao, T. A CS Recovery Algorithm for Model and Time Delay Identification of MISO-FIR Systems. Algorithms 2015, 8, 743-753.
Liu Y, Tao T. A CS Recovery Algorithm for Model and Time Delay Identification of MISO-FIR Systems. Algorithms. 2015; 8(3):743-753.Chicago/Turabian Style
Liu, Yanjun; Tao, Taiyang. 2015. "A CS Recovery Algorithm for Model and Time Delay Identification of MISO-FIR Systems." Algorithms 8, no. 3: 743-753.