TY - GEN
T1 - The probability density function of SINR loss of the dominant mode rejection beamformer
AU - Hu, Enlong
AU - Ge, Hongya
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/5/21
Y1 - 2018/5/21
N2 - The dominant mode rejection (DMR) adaptive beamformer (ABF) is a reduced rank subspace algorithm, which replaces the covariance matrix in the Minimum Variance Distortionless Response (MVDR) beamformer with an eigenvalue reshaped covariance estimate out of the sample covariance matrix (SCM). Signal-to-interference-plus-noise ratio (SINR) loss quantifies the performance of an ABF designed with SCM with respect to its nominal version designed with the true ensemble covariance matrix (ECM). This paper conjectures that the SINR loss of the DMR beamformer is beta-distributed, derives and provides an approximated expression for the beta probability density function. For the simple case of single interferer present in white noise, the performance of the DMR beamformer only depends on the number of snapshots. Monte-Carlo simulations are carried out to verify our derived results.
AB - The dominant mode rejection (DMR) adaptive beamformer (ABF) is a reduced rank subspace algorithm, which replaces the covariance matrix in the Minimum Variance Distortionless Response (MVDR) beamformer with an eigenvalue reshaped covariance estimate out of the sample covariance matrix (SCM). Signal-to-interference-plus-noise ratio (SINR) loss quantifies the performance of an ABF designed with SCM with respect to its nominal version designed with the true ensemble covariance matrix (ECM). This paper conjectures that the SINR loss of the DMR beamformer is beta-distributed, derives and provides an approximated expression for the beta probability density function. For the simple case of single interferer present in white noise, the performance of the DMR beamformer only depends on the number of snapshots. Monte-Carlo simulations are carried out to verify our derived results.
KW - Minimum variance distortionless response (MVDR)
KW - adaptive beamformer (ABF)
KW - dominant mode rejection (DMR)
KW - sample covariance matrix (SCM)
UR - http://www.scopus.com/inward/record.url?scp=85048544117&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048544117&partnerID=8YFLogxK
U2 - 10.1109/CISS.2018.8362262
DO - 10.1109/CISS.2018.8362262
M3 - Conference contribution
AN - SCOPUS:85048544117
T3 - 2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018
SP - 1
EP - 6
BT - 2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 52nd Annual Conference on Information Sciences and Systems, CISS 2018
Y2 - 21 March 2018 through 23 March 2018
ER -