TY - JOUR
T1 - Sparse Antenna and Pulse Placement for Colocated MIMO Radar
AU - Tohidi, Ehsan
AU - Coutino, Mario
AU - Chepuri, Sundeep Prabhakar
AU - Behroozi, Hamid
AU - Nayebi, Mohammad Mahdi
AU - Leus, Geert
N1 - KAUST Repository Item: Exported on 2022-07-01
Acknowledged KAUST grant number(s): OSR-2015-Sensors-2700
Acknowledgements: This work was supported in part by the Vice President of Research and Technology at Sharif University of Technology under Grant QB960606, and in part by the KAUST-MIT-TUD consortium under Grant OSR-2015-Sensors-2700 and the ASPIRE Project (Project 14926 within the STW OTP programme), which is financed by the Netherlands Organisation for Scientific Research (NWO). The work of M. Coutino was supported by CONACYT.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2018/11/16
Y1 - 2018/11/16
N2 - Multiple-input multiple-output (MIMO) radar is known for its superiority over conventional radar due to its antenna and waveform diversity. Although higher angular resolution, improved parameter identifiability, and better target detection are achieved, the hardware costs (due to multiple transmitters and multiple receivers) and high-energy consumption (multiple pulses) limit the usage of MIMO radars in large scale networks. On one hand, higher angle and velocity estimation accuracy is required, but on the other hand, a lower number of antennas/pulses is desirable. To achieve such a compromise, in this paper, the Cramér-Rao lower bound (CRLB) for the angle and velocity estimator is employed as a performance metric to design the antenna and the pulse placement. It is shown that the CRLB derived for two targets is a more appropriate criterion in comparison with the single-target CRLB since the two-target CRLB takes into account both the mainlobe width and the sidelobe level of the ambiguity function. In this paper, several algorithms for antenna and pulse selection based on convex and submodular optimization are proposed. Numerical experiments are provided to illustrate the developed theory.
AB - Multiple-input multiple-output (MIMO) radar is known for its superiority over conventional radar due to its antenna and waveform diversity. Although higher angular resolution, improved parameter identifiability, and better target detection are achieved, the hardware costs (due to multiple transmitters and multiple receivers) and high-energy consumption (multiple pulses) limit the usage of MIMO radars in large scale networks. On one hand, higher angle and velocity estimation accuracy is required, but on the other hand, a lower number of antennas/pulses is desirable. To achieve such a compromise, in this paper, the Cramér-Rao lower bound (CRLB) for the angle and velocity estimator is employed as a performance metric to design the antenna and the pulse placement. It is shown that the CRLB derived for two targets is a more appropriate criterion in comparison with the single-target CRLB since the two-target CRLB takes into account both the mainlobe width and the sidelobe level of the ambiguity function. In this paper, several algorithms for antenna and pulse selection based on convex and submodular optimization are proposed. Numerical experiments are provided to illustrate the developed theory.
UR - http://hdl.handle.net/10754/679566
UR - https://ieeexplore.ieee.org/document/8537943/
UR - http://www.scopus.com/inward/record.url?scp=85056731009&partnerID=8YFLogxK
U2 - 10.1109/TSP.2018.2881656
DO - 10.1109/TSP.2018.2881656
M3 - Article
SN - 1053-587X
VL - 67
SP - 579
EP - 593
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 3
ER -
