A Frequency-Division MIMO FMCW Radar System Based on Delta–Sigma Modulated Transmitters

Feger, Reinhard; Pfeffer, Clemens; Stelzer, Andreas

doi:10.1109/tmtt.2014.2364220

Cited by 42 publications

(19 citation statements)

References 25 publications

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“…Two different concepts have been followed here. The first approach is a digital multiple-input-multiple-output (MIMO) architecture [57] that allows a flexible combination of the channels in the digital domain and various operating modes, including pseudorandom sequences [58], [59]. The second is analog beamforming or phased array in the transmitter and receiver [60]- [62], which allows for a better suppression of interferers and reduced signal processing.…”

Section: A Automotive Radar Transceiversmentioning

confidence: 99%

Millimeter-Wave and Terahertz Transceivers in SiGe BiCMOS Technologies

Kissinger

Kahmen

Weigel

2021

IEEE Trans. Microwave Theory Techn.

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This invited paper reviews the progress of silicon-germanium (SiGe) bipolar-complementary metal-oxidesemiconductor (BiCMOS) technology-based integrated circuits (ICs) during the last two decades. Focus is set on various transceiver (TRX) realizations in the millimeter-wave range from 60 GHz and at terahertz (THz) frequencies above 300 GHz. This article discusses the development of SiGe technologies and ICs with the latter focusing on the commercially most important applications of radar and beyond 5G wireless communications. A variety of examples ranging from 77-GHz automotive radar to THz sensing as well as the beginnings of 60-GHz wireless communication up to THz chipsets for 100-Gb/s data transmission are recapitulated. This article closes with an outlook on emerging fields of research for future advancement of SiGe TRX performance.

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Section: A Automotive Radar Transceiversmentioning

confidence: 99%

Millimeter-Wave and Terahertz Transceivers in SiGe BiCMOS Technologies

Kissinger

Kahmen

Weigel

2021

IEEE Trans. Microwave Theory Techn.

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“…The virtual array is so called because it is not a physically real array but an equivalent array whose focussed array beam pattern is obtained by receiving the target reflections of each transmitted signal, by each receiver, hence resulting in N t times N r reflections of the target that may or may not be unique. In the case of linear arrays, the choice of interelement distance and the mutual orientation of the axes of the arrays for both transmit and receive can allow for different configurations of the virtual array, see [31][32][33][34]. We consider two cases where the transmit and receive array topologies result in a dense configuration of the virtual array.…”

Section: Conventional Mimo Virtual Array Concept and Its Limitationsmentioning

confidence: 99%

“…The first case uses a dense transmit and a dense receive array while the second case uses a regular sparse transmit array and a dense receive array 1 . Although both cases result in a dense configuration of the virtual array, for a better use of terminology in the rest of the paper, we name the first case 'dense virtual array' and second case 'conventional virtual array', because the latter is most commonly used in practical MIMO radar designs, such as in [14,31].…”

Section: Conventional Mimo Virtual Array Concept and Its Limitationsmentioning

confidence: 99%

Sparse virtual array synthesis for MIMO radar imaging systems

Syeda

Beurden

Smolders

2021

IET Microwaves Antenna & Prop

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Multiple-input-multiple-output (MIMO) radar imaging systems require a high angular resolution to realize a high detectability level of the target directly related to the aperture size of the virtual array. Since in MIMO radars, the virtual array topology depends on the transmit and receive array topologies, two methods are proposed for the synthesis of sparse virtual arrays by designing the sparse transmit and receive arrays using a two-step synthesis procedure (TSP) for antenna array sparsity via convex optimization. Both methods are formulated in detail, and it is shown that adjustments in formulations with respect to physical constraints in design specifications are feasible. In the first method, both the sparse transmit and the sparse receive array are synthesized using the TSP independently of each other. In the second method, the sparse receive array is synthesized based on the transmit array topology or vice versa using the method of least squares. With the help of numerical examples, it is shown that a sparse virtual array has better performance in terms of beamwidth and side lobe level compared with the traditional dense virtual array with the same number of transmit and receive array elements. It is also shown that the proposed design methods lead to broadband performance.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…The sensors themselves could be radio frequency (RF) or ultrasonic; however, since in our experimentation, we have considered radar sensors only we will limit this discussion to RF. MIMO radar has already been proposed for medium‐/far‐range automotive applications [1–12], and in fact, there are commercial chipsets available on the market [13, 14], so the same instruments could be used for short‐range sensing with the appropriate signal processing. One of their main benefits is the fact that they form beams through signal processing, rather than physical space, and through their ‘virtual’ array concept they can allow a MIMO array of N transmit + M receive physical elements to form the same beam patterns (geometrically) as an N × M phased array, which reduces system costs.…”

Section: Introductionmentioning

confidence: 99%

MIMO array for short‐range, high‐resolution automotive sensing

Sayin

Pooni

Hoare

et al. 2018

IET Radar, Sonar & Navigation

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The paper introduces the concept of Multiple Input-Multiple Output (MIMO) radar or sonar arrays for short-range, highresolution sensing in vehicular applications. The use of a MIMO architecture, which is becoming increasingly popular in this field, is selected to reduce the amount of physical elements in the array needed for beamforming, but also to allow signal processing approaches for forming narrow beams in the near-field of the array. The paper analytically derives the proposed signal processing approach, and then verifies it via simulated and experimental data in a laboratory environment with scientific equipment assembled for this purpose.

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A Frequency-Division MIMO FMCW Radar System Based on Delta–Sigma Modulated Transmitters

Cited by 42 publications

References 25 publications

Millimeter-Wave and Terahertz Transceivers in SiGe BiCMOS Technologies

Millimeter-Wave and Terahertz Transceivers in SiGe BiCMOS Technologies

Sparse virtual array synthesis for MIMO radar imaging systems

MIMO array for short‐range, high‐resolution automotive sensing

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