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

Volume

3

fYear

2012

fDate

21-25 Oct. 2012

Firstpage

2148

Lastpage

2153

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing (ICSP), 2012 IEEE 11th International Conference on

Conference_Location

Beijing

ISSN

2164-5221

Print_ISBN

978-1-4673-2196-9

Type

conf

DOI

10.1109/ICoSP.2012.6492006

Filename

6492006