Performance analysis of beamspace MUSIC with beamforming angle

Yeom, Dong-Jin; Park, Sang‐Hyun; Kim, Jeong-Ryul; Lee, Min-Joon

doi:10.1109/icspcs.2014.7021081

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…In addition, when using a small number of antenna elements, proper DOA estimation performance is not guaranteed with the ESPRIT method. Moreover, we compared the performance of the beamspace MUSIC algorithm [25] with that of our proposed method. We needed to find the approximate DOA of the target in the beamspace MUSIC method, which was an unnecessary process in our proposed method.…”

Section: Simulation Resultsmentioning

confidence: 99%

Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars

Lee

Kim

2019

Sensors

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In automotive radar systems, a limited number of antenna elements are used to estimate the angle of the target. Therefore, array interpolation techniques can be used for direction of arrival (DOA) estimation to achieve high angular resolution. In general, to generate interpolated array elements from original array elements, the method of linear least squares (LLS) is used. When the LLS method is used, the amplitudes of the interpolated array elements may not be equivalent to those of the original array elements. In addition, through the transformation matrix obtained from the LLS method, the phases of the interpolated array elements are not precisely generated. Therefore, we propose an array transformation matrix that generates accurate phases for interpolated array elements to improve DOA estimation performance, while maintaining constant amplitudes of the array elements. Moreover, to enhance the effect of our interpolation method, a power calibration method for interpolated received signals is also proposed. Through the simulation, we confirm that the array interpolation accuracy and DOA estimation performance of the proposed method are improved compared to those of the conventional method. Moreover, the performance and effectiveness of our proposed method are also verified using data obtained from the commercial radar system. Because the proposed method exhibits better performance when applied to actual measurement data, it can be utilized in commercial automotive radar systems.

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Section: Simulation Resultsmentioning

confidence: 99%

Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars

Lee

Kim

2019

Sensors

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“…To cover the entire array element dimension, multiple beamspace transformation matrices may be considered. Algorithms based on beamspace processing, such as Beamspace MUSIC [38], Beamspace root MUSIC [39], and Beamspace ESPRIT [40], have several benefits, including reduced computational complexity, improved resolution, and reduced estimation error [3,[5][6][7]27,41]. The estimation performance of the Beamspace MUSIC algorithms can approach the Cramer-Rao Bound (CRB) if appropriate preprocessor settings are used [42].…”

Section: Beamspace Music For Estimating Signal Aoa Based On Entire Anmentioning

confidence: 99%

Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna Array

Kim

Hwang

2020

Sensors

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The Angle-of-Arrival (AOA) has a variety of applications in civilian and military wireless communication fields. Due to the rapid development of the location-based service (LBS) industry, the importance of the AOA estimation technique has increased. Although a large antenna array is necessary to estimate accurate AOA information of many signals, the computational complexity of conventional AOA estimation algorithms, such as Multiple Signal Classification (MUSIC), is dramatically increased. In this paper, we propose a cascade AOA estimation algorithm employing CAPON and Beamspace MUSIC, based on a flexible (on/off) antenna array. First, this approach roughly finds AOA groups, including several signal AOAs using CAPON, by applying some of the antenna elements. Then, it estimates each signal AOA in the estimated AOA groups using Beamspace MUSIC by applying the full size of the antenna array. In addition to extremely low computational complexity, the proposed algorithm also has similar estimation performance to that of MUSIC. In particular, the proposed cascade AOA estimation algorithm is highly efficient when employing a massive antenna array. Representative computer simulation examples are provided to illustrate the AOA estimation performance of the proposed technique.

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“…There have been several effective AA-BF algorithms, e.g., direction-of-arrival (DOA) based beamforming [9] and eigenbeamforming [10], for the AP to get the directional beams based on the estimated omni-directional CSI. Eigenbeamforming takes full advantage of the spatial correlations by transmitting over the strongest beam to a given user which can increase system capacity and reduce the interference from others, and we take it as the AA-BF algorithm in this paper.…”

Section: )  Array Antenna Based Beamformingmentioning

confidence: 99%

Array Antennas Based Joint Beamforming for IEEE 802.11n Wi-Fi

Cheng¹,

Zhao²,

Chen³

2015

Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustn

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Abstract-In order to achieve array gain and spatial diversity or multiplexing gain simultaneously, a novel joint beamforming based on MIMO and array antenna techniques, referred to as J-BF, is proposed for the LTE and Wifi downlink. Array gain is achieved from array antenna based beamforming, referred to as AA-BF. Spatial diversity and multiplexing gains are achieved from MIMO based beamforming, referred to as MIMO-BF. To implement J-BF, i.e., joint AA-BF and MIMO-BF, an access point (AP) is equipped with separate array antennas. Before sending any data-frame in the J-BF mode, firstly, based on the estimated omni-directional CSI, the directional beam can be formed by the array antenna, and the array gain is achieved. Secondly, based on the estimated directional CSI, MIMO-BF is implemented to achieve the spatial diversity or multiplexing gain. More importantly, the J-BF algorithm maintains compatibility with 802.11n and there is not any change in terminals. Simulation results show that the proposed scheme can support the joint AA-BF and MIMO-BF effectively and provide much higher array gain or spatial gains than the traditional MIMO or array antenna respectively.

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Performance analysis of beamspace MUSIC with beamforming angle

Cited by 3 publications

References 7 publications

Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars

Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars

Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna Array

Array Antennas Based Joint Beamforming for IEEE 802.11n Wi-Fi

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