Title :
Multi-innovation least squares parameter estimation for multi-rate SDR receiver systems
Author :
Jie Sheng ; Dongqing Wang ; Baiocchi, Orlando ; Wear, L.
Author_Institution :
Inst. of Technol., Univ. of Washington, Tacoma, WA, USA
Abstract :
Modeling the receiver end is critical for the overall performance of wireless software defined radio (SDR) systems. This paper investigates the real-time implementation of channel identification for multi-input single-output (MISO) SDR systems. Based on the multi-rate sampling theory, and using the continuous-time system discretization technique with zero-order holds, the channel mapping relationship (a state-space model) between available multi-rate input and output data is set up. The multi-innovation identification theory is applied and a multi-innovation least squares algorithm is presented for the parameter estimation of the receiver end of multi-rate SDR systems based on the multi-rate input-output data.
Keywords :
MIMO communication; least squares approximations; parameter estimation; radio receivers; sampling methods; software radio; wireless channels; MISO; channel identification; channel mapping relationship; continuous-time system discretization technique; multiinnovation identification theory; multiinnovation least square parameter estimation; multiinput single-output SDR system; multirate SDR receiver system; multirate input output data; multirate sampling theory; state-space model; wireless software defined radio system; zero-order technique; Parameter estimation; least squares; multi-innovation identification; multi-rate systems; state-space models;
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2196-9
DOI :
10.1109/ICoSP.2012.6492006
