A direction of arrival (DOA) estimationalgorithm in the presence of an unknown mutual coupling is presented for a uniform circular array. This algorithm is based on the fourth-order cumulants, and the DOA of signal s...
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A direction of arrival (DOA) estimationalgorithm in the presence of an unknown mutual coupling is presented for a uniform circular array. This algorithm is based on the fourth-order cumulants, and the DOA of signal sources can be accurately estimated without the need of any calibration source since the coupling is blindly compensated by the inherent mechanism of the proposed method. Because of the use of higherorder statistics, the number of sources that can be coped with may be larger than the number of sensors in the array, and the algorithm is insensitive to Gaussian noise. Comparing with existing calibration methods which use iterative approaches, this algorithm is computationally less expensive since it uses only a one-dimensional search. Validation and performance are illustrated by simulations.
In this study, the authors propose a novel direction of arrival (DoA) estimationalgorithm called multiple-input-multiple-output (MIMO)-monopulse' by combining the monopulse approach with MIMO radar. Monopulse is ...
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In this study, the authors propose a novel direction of arrival (DoA) estimationalgorithm called multiple-input-multiple-output (MIMO)-monopulse' by combining the monopulse approach with MIMO radar. Monopulse is fast and accurate angle estimationalgorithm, which has been well developed for tracking radar. The application of the monopulse technique on MIMO radar is not much considered before, especially for automotive-radar application, and will be discussed in this study. Conventional methods of monopulse DoA estimation include amplitude and phase comparison monopulse. In this study, to improve the performance of monopulse, they utilise Chebyshev and Zolotarev weighting to synthesise sum and difference patterns. A new visualisation method for monopulse ratio is discussed. Finally, they demonstrate the success of the proposed algorithm by processing real data from a 79GHz frequency-modulated continuous-wave automotive radar.
Because of the coexistence of wireless local area network (WLAN) and Bluetooth at the same ISM band, WLAN systems cannot eliminate the interference by Bluetooth in the physical layer by carrier sense multiple access/c...
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Because of the coexistence of wireless local area network (WLAN) and Bluetooth at the same ISM band, WLAN systems cannot eliminate the interference by Bluetooth in the physical layer by carrier sense multiple access/collision avoidance. A novel smart antenna system for the WLAN systems to suppress the Bluetooth interference is proposed. The proposed smart antenna system employs the property of multi-carrier transmission of an orthogonal frequency-division multiplexing (OFDM) system to eliminate the correlation among the multi-path components, and the direction of arrival (DOA) estimationalgorithm can estimate the correct DOAs. In the simulation, we apply the proposed smart antenna to the 802.11 system using OFDM. The simulation results demonstrate a superior performance under Bluetooth interference.
A computationally efficient direction of arrival (DOA) estimationalgorithm for closely spaced targets is proposed, The algorithm comprises two parts: an algorithm for discriminating closely spaced targets from a sing...
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A computationally efficient direction of arrival (DOA) estimationalgorithm for closely spaced targets is proposed, The algorithm comprises two parts: an algorithm for discriminating closely spaced targets from a single target, and an algorithm for resolving the directions of arrival of the closely spaced targets. Simulations show that the proposed algorithm performs well with a low computational cost.
The direction of arrival estimation algorithm for low-angle targets with MIMO radar is discussed, and a novel peaks searching algorithm according to the multipath received signal model is derived. The proposed algorit...
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The direction of arrival estimation algorithm for low-angle targets with MIMO radar is discussed, and a novel peaks searching algorithm according to the multipath received signal model is derived. The proposed algorithm, which uses the multipath echo signal power and MIMO radar spatial diversity, can avoid the effects of complex multipath transmitter variable and targets glint. It is illustrated that the algorithm has a better performance with the increase of multipath variable or the transmit antennas. Simulation results verify the usefulness of the algorithm.
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