@article{MAKHILLJEAS2019142218656,
    title = {Detection and Localization of Multiple Targets in a MIMO System using
DFT Wideband Waveforms},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {22},
    pages = {8282-8288},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.8282.8288},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.8282.8288},
    author = {Raed S.M. and},
    keywords = {MIMO radar,DFT,Parallel Factor (PARAFC),Direction of Arrival,DOD,wideband state},
    abstract = {In this study, we address the problem of Direction of Departure (DOD) and Direction of Arrival (DOA)
estimation for moving targets and waveform design techniques of bistatic Multiple Input Multiple Output
(MIMO) radar. The research presented studies an efficient estimation of the target DOA and DOD with
automatic pairing. In this research, we aim at reducing the average angular error. To make better decisions in
error performance, we design and implement a new technique by using discrete Fourier transform. This
technique can effectively reduce error in the detection and localization of the multiple targets in a MIMO
system. The simulation results of the proposed algorithm are presented and the performances are investigated
and discussed. It is seen that the steering vectors of moving targets for bistatic MIMO radar using Discrete
Fourier Transform (DFT) can pair the estimated angles easily. Furthermore, we enhance the DOA estimation
performance in the wideband state. As a result, our procedure achieves better estimation performance than
Capon, Multiple Signal Classification (MUSIC) and Parallel Factor analysis (PARAFAC) and it has better angle
estimation.}
    }