Zhang Y.,China Institute of Technology |
Zhang Y.,Tsinghua National Laboratory for Information Sciences and Technology |
Wei K.,Radar Institute |
Zhang Z.,Tsinghua National Laboratory for Information Sciences and Technology |
And 2 more authors.
IEEE Antennas and Wireless Propagation Letters | Year: 2015
This letter presents a novel design of compact dual-port dual-mode metamaterial-based loop antenna for pattern diversity. The proposed metamaterial-based loop antenna consists of a loop based on periodically loaded capacitive arc strips and two independent ports with feeding networks. Similar to mu-zero resonance (MZR) antennas, the periodically loaded capacitive loop antenna proposed in this letter allows current along the loop to remain in phase and uniform. By making use of a hybrid feed network, the even and odd modes of the proposed metamaterial-based loop antenna are exploited so that its pattern diversity is achieved effectively. The theory of operation and performances of the proposed antenna are demonstrated in both a full-wave simulation and in the experiments. © 2002-2011 IEEE.
Wang Y.,Tsinghua University |
Wang Y.,Radar Institute |
Meng H.,Tsinghua University |
Zhang H.,Tsinghua University |
Wang X.,Tsinghua University
IEEE National Radar Conference - Proceedings | Year: 2011
The probability hypothesis density (PHD) filter is a practical alternative to the theoretically optimal multi-target Bayesian filter based on random finite sets (RFS) for multi-target tracking. In this paper, we propose Track PHD (TPHD) filter based on a track state space consisted of target position history and it propagates the multi-target intensity function of track RFS. The new filter provides the estimates of target track states and makes it easy to confirm identities. Simulation results demonstrate TPHD filter is effective in estimating multi-target states and providing target identities even when targets are in close proximity. © 2011 IEEE.
Wu Y.,Radar Institute
Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011 | Year: 2011
A method of two-dimensional (2-D) direction-of-arrival (DOA) estimation of coherent signals is proposed in this paper. Firstly, the subarrays for spatial smoothing are formed by utilizing the symmetric configuration of the uniform-circular-array (UCA). Then the coherent signals can be resolved without any array transformations based on the algorithm of the spatial smoothing. The numbers of the elements can be decreased largely by using this method. The good performance is not only for DOA estimation of the coherent signals, but also for the non-correlation ones. Finally, the computer simulation tests verify the validity of the presented method. © 2011 IEEE.
Dudas L.,Budapest University of Technology and Economics |
Rosner V.,Budapest University of Technology and Economics |
Seller R.,Budapest University of Technology and Economics |
Kazi K.,Hungarian Academy of Sciences |
And 3 more authors.
4th Microwave and Radar Week, MRW-2010 - 18th International Conference on Microwaves, Radar and Wireless Communications, MIKON 2010 - Conference Proceedings | Year: 2010
Our aim is to develop a microwave receiver antenna system, which can form its radiation pattern (main lobe direction, null-point direction, structure of the side lobes), measure the direction of the RF source in milliseconds. In this paper we will show the theoretical background of the antenna system, the build-up of the realized system and some measurement results.
Gong X.,Tsinghua University |
Gong X.,Radar Institute |
Tan H.,Radar Institute |
Meng H.,Tsinghua University |
Guo J.,Radar Institute
Signal Processing | Year: 2014
We address the design of radar phase-coded signals for the detection of multiple targets in the presence of a coloured Gaussian disturbance with a similarity constraint and a detection constraint. The weighted average signal-to-noise ratio (SNR), which characterises the overall level of multiple targets detection performance, is used as the cost function for the optimization of the radar waveform with a constraint on the degree of similarity with a prefixed radar signal and a constraint on the minimal SNR threshold for every target. We formulate the optimization problem in terms of a non-convex quadratically constrained quadratic program (QCQP) that is NP-hard. Hence, we propose a similarity and detection constrained signal (SDCS) design algorithm relying on both the semidefinite relaxation (SDR) technique and the randomization technique to obtain an accurate approximation of the optimal solution for the case with a continuous phase alphabet and the case with a finite phase alphabet. Finally, the results of extensive simulations demonstrate that the phase-coded signals generated with our approach are accurate approximations of the optimal signals and that a trade-off exists between the detection performance and the requirements on the signal similarity and the minimal SNR threshold. © 2014 Published by Elsevier B.V.