The high resolution of the digital video broadcasting terrestrial (DVB-T) signals leads to a dram... more The high resolution of the digital video broadcasting terrestrial (DVB-T) signals leads to a dramatically large number of observation samples in an integration time of a DVB-T-based passive radar. Hence, because of the high computational complexity (CC), applying extensive cancellation algorithm and generalised likelihood ratio (GLR) detector seems to be impractical in the DVB-T-based passive radars. In this study, the authors derive a reduced complexity GLR detector for the DVB-T-based passive radar in the presence of the clutter, the interfering targets and the noise. The proposed detector employs the split received signal to reduce the CC substantially compared with the methods that process the whole signal at once. Moreover, the CC reduction in the proposed method does not lead to a degradation in Doppler resolution and the detection performance. Simulation results are also corroborated with the theoretical analysis.
IEEE Transactions on Aerospace and Electronic Systems, 2017
This paper examines the problem of suppressing the dynamic clutter and multitarget detection in a... more This paper examines the problem of suppressing the dynamic clutter and multitarget detection in a digital video broadcasting-terrestrial (DVB-T)-based passive bistatic radar (PBR). A two-step low-complexity clutter suppression method is presented to attenuate the nonstationary multipath/clutter in a multiple-frequency network. In the first step, we estimate the multipath signals, as orthogonal frequency-division multiplexing channel coefficients, in a symbolwise approach. The variation of the clutter signal is tracked, using the complex exponential basis expansion model, in the second step. Then, the estimated multipath/clutter signals are subtracted from the received signals. An iterative algorithm is also proposed for detecting targets sequentially in a multitarget scenario. The performance of the proposed method is derived analytically, and a criterion is suggested for comparing different clutter cancellation schemes. The resulting solution is shown to be more efficient than other methods in terms of time and memory complexities.
The high resolution of the digital video broadcasting terrestrial (DVB-T) signals leads to a dram... more The high resolution of the digital video broadcasting terrestrial (DVB-T) signals leads to a dramatically large number of observation samples in an integration time of a DVB-T-based passive radar. Hence, because of the high computational complexity (CC), applying extensive cancellation algorithm and generalised likelihood ratio (GLR) detector seems to be impractical in the DVB-T-based passive radars. In this study, the authors derive a reduced complexity GLR detector for the DVB-T-based passive radar in the presence of the clutter, the interfering targets and the noise. The proposed detector employs the split received signal to reduce the CC substantially compared with the methods that process the whole signal at once. Moreover, the CC reduction in the proposed method does not lead to a degradation in Doppler resolution and the detection performance. Simulation results are also corroborated with the theoretical analysis.
IEEE Transactions on Aerospace and Electronic Systems, 2017
This paper examines the problem of suppressing the dynamic clutter and multitarget detection in a... more This paper examines the problem of suppressing the dynamic clutter and multitarget detection in a digital video broadcasting-terrestrial (DVB-T)-based passive bistatic radar (PBR). A two-step low-complexity clutter suppression method is presented to attenuate the nonstationary multipath/clutter in a multiple-frequency network. In the first step, we estimate the multipath signals, as orthogonal frequency-division multiplexing channel coefficients, in a symbolwise approach. The variation of the clutter signal is tracked, using the complex exponential basis expansion model, in the second step. Then, the estimated multipath/clutter signals are subtracted from the received signals. An iterative algorithm is also proposed for detecting targets sequentially in a multitarget scenario. The performance of the proposed method is derived analytically, and a criterion is suggested for comparing different clutter cancellation schemes. The resulting solution is shown to be more efficient than other methods in terms of time and memory complexities.
Uploads
Papers by Hasan Bolvardi