6533b824fe1ef96bd127fdfb
RESEARCH PRODUCT
A Two-Dimensional Autoregressive Model for MIMO Wideband Mobile Radio Channels
Dmitry UmanskyMatthias Patzoldsubject
Autoregressive modelBroadband networksbusiness.industryComputer scienceMIMOData_CODINGANDINFORMATIONTHEORYWidebandbusinessTelecommunicationsAlgorithmSynthetic dataCommunication channeldescription
In this work, we propose the multichannel two- dimensional (2D) autoregressive (AR) model for multiple-input multiple-output (MIMO) wideband mobile wireless channels. The parameters of the proposed model can be estimated from the real- world measurement data. For this purpose, we suggest using a straightforward extension of the prediction error minimization (PEM) algorithm. We also address the problem of possible instability of the multichannel 2D AR model. A model stabilization procedure based on numerical optimization techniques is proposed. The performance of the multichannel 2D AR model has been evaluated based on the synthetic data generated using two different channel simulators.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2008-01-01 | IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference |