TY - GEN
T1 - A signal adaptive time of arrival estimation algorithm based on polynomial rooting
AU - Kalverkamp, Gerrit
AU - Biebl, Erwin
PY - 2013
Y1 - 2013
N2 - In this paper an algorithm for time of arrival estimation is proposed, which allows processing of spectrally sparse channel observations in order to provide highly accurate range estimations with a maximized resolution capability. The use of sparse waveforms in combination with the presented algorithm provides increased spectral efficiency with lower computational complexity due to reduced size of the observation matrices. Additionally, the ability of the algorithm to efficiently process spectral fragmentary data also gives the capability to efficiently cope with missing data caused by frequency selective fading or interferences.
AB - In this paper an algorithm for time of arrival estimation is proposed, which allows processing of spectrally sparse channel observations in order to provide highly accurate range estimations with a maximized resolution capability. The use of sparse waveforms in combination with the presented algorithm provides increased spectral efficiency with lower computational complexity due to reduced size of the observation matrices. Additionally, the ability of the algorithm to efficiently process spectral fragmentary data also gives the capability to efficiently cope with missing data caused by frequency selective fading or interferences.
KW - Parameter estimation
KW - Radar signal processing
KW - Sparse sensing
KW - Spectral efficiency
KW - Time of arrival estimation
UR - http://www.scopus.com/inward/record.url?scp=84897699175&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2013.6736985
DO - 10.1109/GlobalSIP.2013.6736985
M3 - Conference contribution
AN - SCOPUS:84897699175
SN - 9781479902484
T3 - 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
SP - 691
EP - 694
BT - 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
T2 - 2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
Y2 - 3 December 2013 through 5 December 2013
ER -