TY - GEN
T1 - Simulating correlated k-distributed clutter
AU - Humphreys, Ellis
AU - Antoniou, Michael
AU - Baker, Chris
AU - Stafford, William
PY - 2020/4
Y1 - 2020/4
N2 - A method of simulating the temporal and spatial correlation of k-distributed sea clutter has been developed. Long term correlation is simulated by interpolation and rotation of a correlation Gaussian surface which is then transformed a Gamma “texture” surface by a MNLT (Memoryless Nonlinear Transform). Short term correlation is simulated by a weighted local average. This provides a fast, flexible means of generating realistic correlated K-distributed data (both IQ and amplitude).
AB - A method of simulating the temporal and spatial correlation of k-distributed sea clutter has been developed. Long term correlation is simulated by interpolation and rotation of a correlation Gaussian surface which is then transformed a Gamma “texture” surface by a MNLT (Memoryless Nonlinear Transform). Short term correlation is simulated by a weighted local average. This provides a fast, flexible means of generating realistic correlated K-distributed data (both IQ and amplitude).
UR - http://www.scopus.com/inward/record.url?scp=85090335972&partnerID=8YFLogxK
U2 - 10.1109/RADAR42522.2020.9114864
DO - 10.1109/RADAR42522.2020.9114864
M3 - Conference contribution
AN - SCOPUS:85090335972
T3 - 2020 IEEE International Radar Conference, RADAR 2020
SP - 671
EP - 676
BT - 2020 IEEE International Radar Conference, RADAR 2020
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2020 IEEE International Radar Conference, RADAR 2020
Y2 - 28 April 2020 through 30 April 2020
ER -