Title :
Sensitivity analysis of MVDR and MPDR beamformers
Author :
Ehrenberg, Livnat ; Gannot, Sharon ; Leshem, Amir ; Zehavi, Ephraim
Author_Institution :
Sch. of Eng., Bar-Ilan Univ., Ramat-Gan, Israel
Abstract :
A sensitivity analysis of two distortionless beamformers is presented in this paper. Specifically, two well-known variants, namely the minimum power distortionless response (MPDR) and minimum variance distortionless response (MVDR) beamformers, are considered. In our scenario, which is typical to many modern communications systems, waves emitted by multiple point sources are received by an antenna array. An analytical expression for the signal to interference and noise ratio (SINR) improvement obtained by both beamformers under steering errors is derived. These expression are experimentally evaluated and compared with the robust Capon beamformer (RCB), a robust variant of the MPDR beamformer. We show that the MVDR beamformer, which uses the noise correlation matrix in its minimization criterion, is more robust to steering errors than its counterparts, that use the received signal correlation matrix. Furthermore, even if the noise correlation matrix is erroneously estimated due to steering errors in the interference direction, the MVDR advantage is still maintained for reasonable range of steering errors. These conclusions conform with Cox findings. Only line of sight propagation regime is considered in the current contribution. Ongoing research extends this work to fading channels.
Keywords :
antenna arrays; array signal processing; fading channels; Cox finding; MPDR beamformer; MVDR beamformer; antenna array; distortionless beamformer; fading channel; minimum power distortionless response beamformer; minimum variance distortionless response beamformer; sensitivity analysis; sight propagation; steering error; Arrays; Correlation; Interference; Robustness; Signal to noise ratio;
Conference_Titel :
Electrical and Electronics Engineers in Israel (IEEEI), 2010 IEEE 26th Convention of
Conference_Location :
Eliat
Print_ISBN :
978-1-4244-8681-6
DOI :
10.1109/EEEI.2010.5662190