FMCW MIMO Radar System for Frequency-Division Multiple TX-Beamforming

Pfeffer, Clemens; Feger, Reinhard; Wagner, Christoph; Stelzer, Andreas

doi:10.1109/tmtt.2013.2287675

Cited by 73 publications

(26 citation statements)

References 23 publications

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“…For the reason that the radar system displays the relative logarithmic power of the returns from the target scene, a base-10 logarithm of the magnitude squared voltage converts the raw image data to dB relative power. The whole procedure is modeled as J = 10 log 10 |S R W| 2 (15) where S R is the selected RTI data matrix, W is the steering matrix and J is the image data matrix consisting of all the target range and azimuth information lie in the columns and rows respectively.…”

Section: Fpga and Dsp Pipelinementioning

confidence: 99%

See 1 more Smart Citation

Design and Implementation of a FPGA and DSP Based MIMO Radar Imaging System

Wang¹,

Dong²,

Wang³

et al. 2015

RADIOENGINEERING

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Abstract. The work presented in this paper is aimed at the implementation of a real-time multiple-input multiple-output (MIMO) imaging radar used for area surveillance. In this radar, the equivalent virtual array method and time-division technique are applied to make 16 virtual elements synthesized from the MIMO antenna array. The chirp signal generater is based on a combination of direct digital synthesizer (DDS) and phase locked loop (PLL). A signal conditioning circuit is used to deal with the coupling effect within the array. The signal processing platform is based on an efficient field programmable gates array (FPGA) and digital signal processor (DSP) pipeline where a robust beamforming imaging algorithm is running on. The radar system was evaluated through a real field experiment. Imaging capability and real-time performance shown in the results demonstrate the practical feasibility of the implementation.

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Section: Fpga and Dsp Pipelinementioning

confidence: 99%

“…Some MIMO radar systems have been developed for radar system performance analysis and algorithm verification [7]- [11], [15]. In [7], a 77-Ghz FMCW MIMO radar is implemented for 2D target localization using an SiGe single-chip transceiver.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a FPGA and DSP Based MIMO Radar Imaging System

Wang¹,

Dong²,

Wang³

et al. 2015

RADIOENGINEERING

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show abstract

“…The potential of automotive MIMO systems to reduce ambiguousness and to increase angular resolution is demonstrated. [11] suggest an extremely flexible radar architecture for FMCW MIMO radars with the option of frequency division multiplexing for different channels. Different super resolution algorithms for imaging have been evaluated for the application of automotive radar in [12,13].…”

Section: A Imaging and Mimo Radarmentioning

confidence: 99%

Future trends and directions in radar concerning the application for autonomous driving

Waldschmidt

Meinel

2014

2014 11th European Radar Conference

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“…Because that the frequency-modulated continuous wave (FMCW) signals have the ranging ability and low power consumption [5], they are widely used in MIMO radar systems. As a method that is relatively easier to implement than frequency division multiplexing structure [6], the time division multiplexing (TDM) structure [7] is widely used in MIMO radar systems. This structure realizes the orthogonality of the waveform by switching the transmitting and receiving channels at different times.…”

Section: Introductionmentioning

confidence: 99%

An Implementation Scheme of Range and Angular Measurements for FMCW MIMO Radar via Sparse Spectrum Fitting

et al. 2020

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The work presented in this paper is about implementing a frequency-modulated continuous wave (FMCW) multiple-input multiple-output (MIMO) positioning radar and a sparse spectrum fitting (SpSF) algorithm for range and angular measurements. First, we designed a coherent FMCW MIMO radar system working in the S-band with low power consumption that consists of four transmitter and four receiver antennas and has the ability to extend its virtual aperture; thus, this system can achieve a higher resolution than conventional phased array radars. Then, the SpSF algorithm was designed for estimating the distance and angle of the targets in the FMCW MIMO radar. Due to the fact that the SpSF algorithm can exploit the spatial sparsity diversity of a signal, the SpSF algorithm that is applied in the designed MIMO radar system can achieve a better estimation performance than the multiple signal classification (MUSIC) and Capon algorithms, especially in the context of small snapshots and low signal-to-noise ratios (SNRs). The simulated and experimental results are used to prove the effectiveness of the designed MIMO radar and the superior performance of the algorithm.

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FMCW MIMO Radar System for Frequency-Division Multiple TX-Beamforming

Cited by 73 publications

References 23 publications

Design and Implementation of a FPGA and DSP Based MIMO Radar Imaging System

Design and Implementation of a FPGA and DSP Based MIMO Radar Imaging System

Future trends and directions in radar concerning the application for autonomous driving

An Implementation Scheme of Range and Angular Measurements for FMCW MIMO Radar via Sparse Spectrum Fitting

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