TY - GEN
T1 - Spatial smoothing for coherent MIMO radar setups with minimum redundancy
AU - Kirschner, Andreas
AU - Detlefsen, Juergen
AU - Mees, Wim
N1 - Publisher Copyright:
© 2016 Institut fur Mikrowellen und Antennentechnik-IMA.
PY - 2016/4/27
Y1 - 2016/4/27
N2 - This paper covers coherent MIMO radar systems with collocated antennas combined with minimum redundancy principles. The fundament of the first are virtual arrays which can be considered as discrete convolution of transmitter and receiver distributions. This technique can be connected to sparse arrays regarding minimum redundancy (MR) aspects. However, MR setups are usually suited for so-called uncorrelated signal scenarios, whereas coherent MIMO radar setups provide correlated or coherent signal outputs. The standard angular signal processing of MR arrays would become corrupted in coherent signal case. The spatial smoothing algorithm can provide a possible solution for this conflict by lateral shifts. However, the pure amount of required shifts would make the idea of sparse arrays obsolete. Therefore, the spatial smoothing algorithm was adapted in order to find also sparse lateral shift positions. The solution could again be found by means of minimum redundancy. This paper presents simulation results which were generated during design and implementation of radar sensors.
AB - This paper covers coherent MIMO radar systems with collocated antennas combined with minimum redundancy principles. The fundament of the first are virtual arrays which can be considered as discrete convolution of transmitter and receiver distributions. This technique can be connected to sparse arrays regarding minimum redundancy (MR) aspects. However, MR setups are usually suited for so-called uncorrelated signal scenarios, whereas coherent MIMO radar setups provide correlated or coherent signal outputs. The standard angular signal processing of MR arrays would become corrupted in coherent signal case. The spatial smoothing algorithm can provide a possible solution for this conflict by lateral shifts. However, the pure amount of required shifts would make the idea of sparse arrays obsolete. Therefore, the spatial smoothing algorithm was adapted in order to find also sparse lateral shift positions. The solution could again be found by means of minimum redundancy. This paper presents simulation results which were generated during design and implementation of radar sensors.
UR - http://www.scopus.com/inward/record.url?scp=84969545694&partnerID=8YFLogxK
U2 - 10.1109/GEMIC.2016.7461604
DO - 10.1109/GEMIC.2016.7461604
M3 - Conference contribution
AN - SCOPUS:84969545694
T3 - GeMiC 2016 - 2016 German Microwave Conference
SP - 255
EP - 258
BT - GeMiC 2016 - 2016 German Microwave Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - German Microwave Conference, GeMiC 2016
Y2 - 14 March 2016 through 16 March 2016
ER -