An MIMO Radar System Based on the Sparse-Array and Its Frequency Migration Calibration Method

Ma, Yue; Miao, Chen; Zhao, Yangying; Wu, Wen

doi:10.3390/s19163580

Cited by 7 publications

(7 citation statements)

References 22 publications

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“…Moreover, a frequency-shift as a function of the relative velocity can be seen. The intensity of the beat frequency (I b ), is dependent on original wave intensity (I o ), Doppler-shifted signal intensity (I o ), and phase difference (Φ) between Doppler frequency and original frequency which can be expressed as (Yue et al 2019):…”

Section: Observations and Discussionmentioning

confidence: 99%

Range-speed mapping and target-classification measurements of automotive targets using photonic-radar

et al. 2020

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The frequency-modulated continuous-wave radar is an ideal choice for autonomous vehicle and surveillance-related industries due to its ability to measure the relative target-velocity, target-range, and target-characterization. Unlike conventional microwave radar systems, the photonic radar has the potential to offer wider bandwidth to attain high range-resolution at low input power requirements. Subsequently, a frequency-modulated continuous-wave photonic-radar is developed to measure the target-range and velocity of the automotive mobile targets concurrently with acceptable rang resolution keeping in mind the needs of the state-of-the-art autonomous vehicle industry. Furthermore, the target-identification is also an important parameter to be measured to enable the futuristic autonomous vehicles for the recognition of the objects along with their dimensions. Therefore, the reported work is extended to characterize the target-objects by measuring the specular-reflectance, diffuse-reflectance, the ratio of horizontal-axis to vertical-axis, refractive index constants of the targets using the bidirectional reflectance distribution function. Furthermore, the reflectance properties of the target-objects are also measured with different operating wavelengths at different incident angles to assess the influence of the operating wavelength and the angle at which the radar-pulses incident on the surface of the targets. Moreover, to validate the performance of the demonstrated work, a comparison is also presented in distinction with the conventional microwave FMCW-RADAR.

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Section: Observations and Discussionmentioning

confidence: 99%

Range-speed mapping and target-classification measurements of automotive targets using photonic-radar

et al. 2020

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“…This feature enhances target detection [5], and allows higher angular resolution [6], when compared to conventional radars of comparable complexity. Given this, the MIMO technique has been largely investigated and successfully adopted in many applications, also for automotive radar systems [1,7], and in particular in the millimeter-wave frequency range [8].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Compressive Sensing 2 × 2 MIMO Antenna Design for Millimeter-Wave Radar Image Enhancement

et al. 2020

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This paper presents a microstrip array antenna designed for a 2 × 2 Compressive Sensing Multiple-Input Multiple-Output (CS-MIMO) millimeter-wave radar operating at 37.5 GHz. The CS-MIMO linear array antenna is designed to obtain an optimal aperture by seeking a suitable random pattern for the antenna positions. Applying CS allows a considerable reduction in the number of antennas respect to a dense array based on the Nyquist criterion. In this study, we report all possible configurations of 2 × 2 CS-MIMO by placing antennas in random positions, plus their compression ratio. Finally, by selecting the proper design, we examine the experimental validation of the CS-MIMO antenna prototype by comparing measurements and simulations with a Standard MIMO (Std-MIMO) antenna prototype as a benchmark. The experimental results show that the angular resolution can be increased through a random array CS-MIMO by a factor of at least 2.9 respect to Std-MIMO while preserving the radar field of view.

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“…The main focus here is to explain how currently known MRAs could be efficiently used to design sparse MIMO radar arrays. Apart from the methods listed above, sparse MIMO arrays have also been designed by thinning regular arrays through exhaustive optimization techniques to obtain a desired beam pattern or side lobe performance [28][29][30]. A cyclic algorithm was used in [28] to determine the antenna positions in the transmitting and receiving arrays such that the array attains a desired response.…”

Section: Introductionmentioning

confidence: 99%

“…A cyclic algorithm was used in [28] to determine the antenna positions in the transmitting and receiving arrays such that the array attains a desired response. Genetic algorithm was used in [30] to thin a ULA in the receiver of the MIMO array to obtain a sparse array of similar side lobe performance. These methods need complicated computational searches to determine the optimum sensor locations in the transmitting and receiving arrays such that the array achieves a desired radiation pattern.…”

Section: Introductionmentioning

confidence: 99%

Novel Mra-Based Sparse Mimo and Simo Antenna Arrays for Automotive Radar Applications

Gudheti

2020

PIER B

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Automotive radars make use of angle information obtained from antenna arrays to distinguish objects that lie in the same range-doppler cell (relative to the ego vehicle). This paper proposes novel ways of using presently known minimum redundancy arrays (MRAs) in single-input multiple-output (SIMO) and multiple-input multiple-output (MIMO) automotive radars. Firstly, an MRA-based sparse MIMO array is proposed as a novel modification to the nested MIMO array. The proposed sparse MIMO array uses MRAs as the transmitting and receiving modules, unlike the nested MIMO array, which uses two-level nested arrays (TLNAs) at the transmitting and receiving blocks. Upper bounds for the sum co-array aperture and the overall attainable degrees of freedom (DOF) offered by the MIMO radar have been derived in terms of the number of sensors. Secondly, the suitability of large Low-Redundancy Linear Arrays (LRLAs) in SIMO automotive radars is also studied. A long-range automotive radar driving scenario was assumed for DOA estimation and simulations were carried out in MATLAB using the co-array MUltiple SIgnal Classification (co-array MUSIC) algorithm. Simulation results confirm that the proposed MRA-based MIMO array provides better angular resolutions than the nested MIMO array for the same number of sensors and that LRLAs can serve as a handy replacement for ULAs in SIMO radars owing to their acceptable performance. As MIMO and SIMO radars designed from currently known MRAs were sufficient to satisfy the angular resolution requirements of modern automotive radars, a need to synthesize new MRAs did not arise.

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An MIMO Radar System Based on the Sparse-Array and Its Frequency Migration Calibration Method

Cited by 7 publications

References 22 publications

Range-speed mapping and target-classification measurements of automotive targets using photonic-radar

Range-speed mapping and target-classification measurements of automotive targets using photonic-radar

Assessment of Compressive Sensing 2 × 2 MIMO Antenna Design for Millimeter-Wave Radar Image Enhancement

Novel Mra-Based Sparse Mimo and Simo Antenna Arrays for Automotive Radar Applications

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