TY - GEN
T1 - Sparsity-based MIMO noise radar for multiple target estimation
AU - Gogineni, Sandeep
AU - Nehorai, Arye
PY - 2012
Y1 - 2012
N2 - We solve a multiple moving-target estimation problem using a colocated multiple-input multiple-output (MIMO) radar system. Each antenna of the radar array transmits noise waveforms to achieve high resolution. These waveforms are further covered by codes that are inspired from code division multiple access (CDMA) to exploit code diversity. We formulate the measurement model using a sparse representation in an appropriate basis to estimate the unknown target parameters (delays, Dopplers) using support recovery algorithms. We demonstrate the performance of the proposed system using numerical simulations.
AB - We solve a multiple moving-target estimation problem using a colocated multiple-input multiple-output (MIMO) radar system. Each antenna of the radar array transmits noise waveforms to achieve high resolution. These waveforms are further covered by codes that are inspired from code division multiple access (CDMA) to exploit code diversity. We formulate the measurement model using a sparse representation in an appropriate basis to estimate the unknown target parameters (delays, Dopplers) using support recovery algorithms. We demonstrate the performance of the proposed system using numerical simulations.
UR - http://www.scopus.com/inward/record.url?scp=84867194409&partnerID=8YFLogxK
U2 - 10.1109/SAM.2012.6250505
DO - 10.1109/SAM.2012.6250505
M3 - Conference contribution
AN - SCOPUS:84867194409
SN - 9781467310710
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 33
EP - 36
BT - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
T2 - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Y2 - 17 June 2012 through 20 June 2012
ER -