Efficient sparse representation algorithm for accurate DOA estimation of multiple targets with single measurement vector

Lee, Seong‐Hyeon; Choi, In-O; Kang, Mi Jin; Kim, Kyung‐Tae

doi:10.1002/mop.30908

Cited by 7 publications

(3 citation statements)

References 21 publications

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“…The proposed APS approach directly provides a mathematical formulation of the exact set of element excitations, which yield the desired APS without any iterative optimization process. Since the core calculations in the proposed approach rely on the FFT operations [ 29 , 30 , 31 , 32 , 33 , 34 ], the proposed method is computationally more efficient than the traditional optimization process, essentially coming down to trial and error [ 35 , 36 , 37 , 38 , 39 ]. Generally, it is assumed that the elements of linear array are uniformly spaced at distance d .…”

Section: Discussionmentioning

confidence: 99%

Efficient and Accurate Synthesis for Array Pattern Shaping

Kang

Baek

2022

Sensors

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Array pattern synthesis (APS) aims to create the desired array pattern as closely as possible to the prescribed mask template by varying the element excitations of the array. Herein, an efficient approach for the APS to control the sidelobe level is proposed. After designing the mask template to meet the prescribed sidelobe requirements and the waveform pattern, a set of element excitations is calculated through the Fourier transform performed on the projection the waveform pattern onto the mask template. Then, a desired array pattern can be synthesized from this updated set of excitation coefficients. The proposed APS approach directly presents a mathematical formulation of the exact set of excitations without any iterative optimization process. The proposed method is particularly suited for many array elements in linear antenna array. Thus, the proposed APS achieves substantial improvements in terms of computation complexity, performance, and ease of implementation in the algorithm when compared with conventional methods. Several simulation results are provided to verify the efficacy and effectiveness of the proposed method.

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Section: Discussionmentioning

confidence: 99%

Efficient and Accurate Synthesis for Array Pattern Shaping

Kang

Baek

2022

Sensors

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“…In the past couple of decades, the problem of direction of arrival (DOA) estimation for narrowband sources has been studied extensively because of its wide application in many fields such as radar, navigation and wireless communication (Lee et al, 2018). The subspace methods of multiple signals classification (MUSIC, proposed in Schmidt and Schmidt (1986)) and Estimating signal Parameter via Rotational Invariance Techniques (ESPRIT, proposed in Yuen and Friedlander (1996)), are the most prominent approaches for DOA estimation with high resolution and simple structure.…”

Section: Introductionmentioning

confidence: 99%

A new model for DOA estimation and its solution by multi-target intermittent particle swarm optimization

Cui

Zhao

et al. 2020

Systems Science & Control Engineering

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Currently, the widely used methods for direction of arrival (DOA) estimation were constructed based on the subspace, such as Multiple Signal Classification (MUSIC) and Estimating Signal Parameter via Rotational Invariance Techniques (ESPRIT), which required that the number of sources is known beforehand. In this paper, a new method based on the Vector Error Model (VEM) for estimating the DOAs was proposed, which do not need the sources number in advance. The comparison of the performance between the VEM and the MUSIC model for DOA problem was given to demonstrate the effectiveness of our method. The algorithm of multi-target intermittent particle swarm optimization (MIPSO) was adopted to solve the VEM, and the performance of the VEM-MIPSO method was analysed through simulations for a uniform linear array and an L-shaped array respectively. The results showed that: (1) the VEM was an effective model to solve the DOA estimation without prior knowledge of the sources number; (2) the MIPSO was an efficient algorithm to solve the DOA estimation with high precision.

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“…최근에는 미국, 유럽, 일본 등에서 자동 긴급 제동 시스템 이 의무화되고 있으며 [3] , 이러한 능동 안전 시스템과 인 지 센서는 자동차 기술의 핵심 요소로 자리 잡고 있다. 특 히 카메라나 라이다 센서와 달리, 레이다 시스템은 전파 를 이용하여 표적의 거리, 속도, 각도 등을 추정하고, 악 천후 속에서도 안정적인 성능을 유지하여 세간의 주목을 받고 있다 [4], [5] .…”

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Pedestrian Trajectory Prediction Using LSTM Regression Model in Automotive Radar Systems

Jeon,

Kwon,

Kwak

et al. 2024

J. Korean Inst. Electromagn. Eng. Sci.

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In this study, we propose a two-step method to enhance pedestrian detection and driver safety in automotive radar systems. First, we assumed information regarding the range, velocity, and angle of pedestrians behind stationary vehicles using a frequency-modulated continuous wave radar system, with the cell-averaging constant false alarm rate algorithm employed to effectively distinguish between the target signals and noise components. Additionally, a multiple signal classification algorithm was used for the high-resolution angle estimation of the target. Subsequently, a long short-term memory network is applied to predict the movement of a pedestrian, with the results indicating an average error of 0.09 m between the predicted and actual points along the trajectory.

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Efficient sparse representation algorithm for accurate DOA estimation of multiple targets with single measurement vector

Cited by 7 publications

References 21 publications

Efficient and Accurate Synthesis for Array Pattern Shaping

Efficient and Accurate Synthesis for Array Pattern Shaping

A new model for DOA estimation and its solution by multi-target intermittent particle swarm optimization

Pedestrian Trajectory Prediction Using LSTM Regression Model in Automotive Radar Systems

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