To improve the performance for two-dimensional (2D) direction of arrival (DOA) estimation in the presence of limited antennas in practice, we propose a novel three parallel sparse nested array with extended aperture a...
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To improve the performance for two-dimensional (2D) direction of arrival (DOA) estimation in the presence of limited antennas in practice, we propose a novel three parallel sparse nested array with extended aperture and reduced mutual coupling. The proposed array consists of three subarrays where locations of antennas have closed -form expressions, to efficiently achieve increased degrees of freedom in difference coarray domain. The unit inter -antenna spacings and the displacements among subarrays are all expanded by D1, D2 or D3 fold for aperture extension and mutual coupling reduction in physical array domain. By exploiting the configuration, the two methods, i.e., BOMP-based and CMT-BCS-based methods, are further explored for high -precision but ambiguous angle estimation, and then the coprime-ness between the displacements is utilized to solve the angle ambiguities. Simulation results demonstrate the superiority of the proposed array and methods for 2D DOA estimation over the existing technologies.
Direction of arrival (DOA) estimation for sparsenested MIMO radar with velocity receive sensor array is studied, and an algorithm based on extended unitary root multiple signal classification (MUSIC) is proposed. The...
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Direction of arrival (DOA) estimation for sparsenested MIMO radar with velocity receive sensor array is studied, and an algorithm based on extended unitary root multiple signal classification (MUSIC) is proposed. The nested MIMO radar utilizes sparse transmit array and velocity receive array with nested inter-element distances, which can make the final virtual array to be a long and sparse velocity sensor array. After exploiting unitary transformation to transform the data into real-valued one, an extended root MUSIC based method is developed to decompose the angle estimation into high-resolution but ambiguous and low-resolution but unambiguous DOA estimations, which are automatically paired. Thereafter, the ambiguous estimation is used to recover all possible DOAs, and the unambiguous DOA estimation is used as a reference to resolve the estimation ambiguity problem. Compared to conventional methods, the proposed algorithm requires no peak search, maintains larger aperture and achieves better DOA estimation performance. The simulation results verify the effectiveness of our approach.
In this letter, we propose an extended nestedarray (ENA) strategy, which relaxes the constraints on the two-side subarrays of the augmented nestedarray and allows the sensors further placed from the sparse uniform l...
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In this letter, we propose an extended nestedarray (ENA) strategy, which relaxes the constraints on the two-side subarrays of the augmented nestedarray and allows the sensors further placed from the sparse uniform linear array. To guarantee the continuity of the difference co-array (DCA), several conditions are provided for specific design. Based on these rules, two ENAs, referred to as one-side extended nestedarray (OS-ENA) and two-side extended nestedarray (TS-ENA), are developed. The DCAs of both the OS-ENA and TS-ENA are hole-free and possess more consecutive lags than the existing nested-like arrays. Simulations verify the superiorities of the proposed ENAs with the spacial smoothing MUSIC algorithm used.
In this paper, an extended nestedarray strategy is proposed for degree of freedom (DOF) enhancement. Based on the augmented nestedarray (ANA), with the inter-element spacings in the side subarray increased, the stra...
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ISBN:
(纸本)9781728119465
In this paper, an extended nestedarray strategy is proposed for degree of freedom (DOF) enhancement. Based on the augmented nestedarray (ANA), with the inter-element spacings in the side subarray increased, the strategy provides the possibility to acquire higher number of DOF than the existing nested-like arrays, such as the nestedarray, ANA, improved nestedarray and the maximum inter-element spacing constraint array. The one-side extended nestedarray (OS-ENA) is specifically proposed based on the ENA strategy, which can successfully avoid the holes brought by the sparse distribution of sensors and increase the DOF. The analytical expressions of sensor locations and DOF are derived. Simulations of the direction-of-arrival estimation verify the superiorities of the proposed OS-ENA with the spacial smoothing MUSIC algorithm used.
Since the traditional radar imaging takes too much time, it is necessary to find new imaging radar which can image fast and conserve resources. MIMO radar has waveform diversity or spatial diversity. So it can realize...
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Since the traditional radar imaging takes too much time, it is necessary to find new imaging radar which can image fast and conserve resources. MIMO radar has waveform diversity or spatial diversity. So it can realize high resolution snapshot imaging under the same condition. However, the imaging performance of MIMO radar is tightly related to the antenna array design. This paper proposes a MIMO array optimization method based on the genetic algorithm(GA). The GA is used to directly calculate the position of the transceiver element and at meantime the fitness function based on MIMO array design is proposed. Experiments show that this method not only can reduce the number of array elements, but also has certain optimization ability in beam pattern performance.
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