Statistical Study of Hardware Impairments Effect on mmWave 77 GHz FMCW Automotive Radar

Moghaddam, Mohammad Hossein; Aghdam, Sina Rezaei; Filippi, Alessio; Eriksson, Thomas

doi:10.1109/radarconf2043947.2020.9266605

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…In [38], a parametric radar model considering chirp-sequence and HWI was proposed. In [39], the signal-to-distortion-plus-noise ratio and range-Doppler sensitivity with constant false alarm rate were studied for a 77 GHz FMCW automotive radar with both IQI and phase noise. Nevertheless, active radars and passive radars are very different in terms of hardware, set-up and IO.…”

Section: Introductionmentioning

confidence: 99%

Novel Detectors for Passive Radar Sensing With I/Q Imbalance and Additive Distortion

Wang,

Chen

2024

IEEE Systems Journal

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Passive radar has been recognized as one of the most attractive and promising approaches to solving the critical challenge of spectrum scarcity. However, the ubiquitous hardware impairment (HWI) might severely degrade the passive radar's performance. This article develops maximum likelihood estimate algorithms considering I/Q imbalance (IQI) and additive distortion (AD) to propose the generalized likelihood ratio test (GLRT) based detectors. For single-target cases, the novel GLRT detectors correspond to different knowledge levels of the transmitted signals and channel state information. Then, the single-target scenarios are extended to the two-target case to investigate the effects of transmitter-receiver distance, bistatic range and range resolution brought by the interfering target. Specifically, we propose the HWI mitigation algorithm to approximate and simplify the complex GLRT expressions due to the interfering target, thereby counteracting the effects of IQI and AD. Finally, simulation results demonstrate that both amplitude mismatch and phase mismatch have degrading impact on the overall detection probability of single-target passive radar, and the twotarget detector has a very high range resolution compared with classical works in DVB-T. Also, the range resolution is proven to be robust to HWI.

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Section: Introductionmentioning

confidence: 99%

Novel Detectors for Passive Radar Sensing With I/Q Imbalance and Additive Distortion

Wang,

Chen

2024

IEEE Systems Journal

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“…FMCW radar [10,11] is an active type of radar sensor that transmits continuous transmission power such as continuous wave (CW Radar); the FMCW type Radar is measured based on the difference in phase or frequency between the signal emitted and the signal received. In this study, the focus is on the patient's respiratory condition, which is monitored from the FMCW Radar [13][14][15], as shown in Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

Analyze Transmission Data from a Multi-Node Patient's Respiratory FMCW Radar to the Internet of Things

Rahmatullah¹,

Adi²,

Prasetya³

et al. 2023

IJACSA

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This is the development of a system that has been made, FMCW radar for human or patient breathing which will then determine the type of disease or disorder in the patient just by looking at the type of breathing. This research uses data from FMCW Radar for human or patient breathing, which is then converted to data that can be read in real-time by the public, doctors, or medical teams through a web server; the web server used is iotmedis.brin.go.id. The novelty of this study is that various types of respiratory data are taken from various points so that it will cause new analysis, namely the process of transmitting data on server traffic or uplink and downlink processes. Specific data and research novelty is how Multi patient respiratory data from OmnipreSense or FMCW Radar can be processed by a microprocessor using MQTT, and multi-patient data can be displayed on the server in real-time.

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Target Detection and Localization Using Frequency Domain Sparse Radar

Ahmed,

Khanam Nitu

2023

2023 26th International Conference on Computer and Information Technology (ICCIT)

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Statistical Study of Hardware Impairments Effect on mmWave 77 GHz FMCW Automotive Radar

Cited by 6 publications

References 13 publications

Novel Detectors for Passive Radar Sensing With I/Q Imbalance and Additive Distortion

Novel Detectors for Passive Radar Sensing With I/Q Imbalance and Additive Distortion

Analyze Transmission Data from a Multi-Node Patient's Respiratory FMCW Radar to the Internet of Things

Target Detection and Localization Using Frequency Domain Sparse Radar

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