| 1. |
- Alves, Dimas, I, et al.
(författare)
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Incoherent Change Detection Methods for Wavelength-Resolution SAR Image Stacks Based on Masking Techniques
- 2020
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Ingår i: 2020 IEEE National Radar Conference - Proceedings. - : IEEE. - 9781728189420
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Konferensbidrag (refereegranskat)abstract
- This paper presents two incoherent change detection methods for wavelength-resolution synthetic aperture radars (SAR) image stacks based on masking techniques. The first technique proposed is the Simple Masking Detection (SMD). This method uses the statistical behavior of pixels-sets in the image stack to create a binary mask, which is used to remove pixels that are not related to changes in a surveillance image from the same interest region. The second technique is the Multiple Concatenated Masking Detection (MCMD), which produces a more selective mask than the SMD by concatenating multiple masks from different image stacks. The MCMD can be used in specific applications where multiple stacks share common patterns of target deployments. Both proposed techniques were evaluated using 24 incoherent SAR images obtained by the CARABAS II system. The experimental results revealed that the proposed detection methods have better performance in terms of probability of detection and false alarm rate when compared with other change detection techniques, especially for high detection probabilities scenarios.
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| 2. |
- Aydogdu, Canan, 1978, et al.
(författare)
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Can Automotive Radars Form Vehicular Networks?
- 2020
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Ingår i: IEEE National Radar Conference - Proceedings. - 1097-5659. - 9781728189420 ; 2020-September, s. 1-6
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Konferensbidrag (refereegranskat)abstract
- Radar communications (RadCom) is a spectrally efficient way for removing automotive radar interference and thereby enhancing reliable radar sensing, via a single hardware for both radar and communications. When interference coordination does not use all the RadCom resources, opportunities for communicating additional data arise. We propose a new communication protocol, termed RadNet (for radar network), which forms a vehicular ad-hoc multi-hop network by automotive radars in a distributed manner. Simulation results obtained for high-way use cases show that RadNet can enable several Mbps data links without degrading the radar performance.
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| 3. |
- Hellsten, Hans, et al.
(författare)
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Multiple Access Radar Using Slow Chirp Modulation
- 2020
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Ingår i: 2020 IEEE Radar Conference (RadarConf20). - New York, NY : IEEE. - 9781728189420 - 9781728189437 ; , s. 1-6
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Konferensbidrag (refereegranskat)abstract
- The cohabitation of several radars, operating in the same frequency band, has become an essential and urgent topic as active safety systems for automotive applications are rolled out. An obvious concern is that mutual interference must be managed. Separating users in time, i.e. TDMA, achieves the required level of isolation in a straightforward way. CDMA techniques providing sufficient channel isolation are less obvious. The paper develops an alternative CDMA method, called Slow Chirp Modulation (SCM). SCM utilizes the full coherent integration time for transmission of a single aperiodic but ergodic signal, allowing target range and velocity to be retrieved but minimizing spectral occupancy. Spectral efficiency two orders of magnitude higher than for the discussed alternative methods is obtained, allowing more than a thousand non-interfering channels. Relying on indicated hardware schematics, the paper demonstrates the functionality of the novel signal processing algorithms, which are required for SCM. ©2020 IEEE
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| 4. |
- Moghaddam, Mohammad Hossein, 1987, et al.
(författare)
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Statistical Study of Hardware Impairments Effect on mmWave 77 GHz FMCW Automotive Radar
- 2020
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Ingår i: IEEE National Radar Conference - Proceedings. - 1097-5659. - 9781728189420 ; 2020-September, s. 1-6
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Konferensbidrag (refereegranskat)abstract
- In this paper, we analyze the effects of hardware impairments on 77GHz FMCW automotive radar performance. Joint in-phase/quadrature imbalance (IQI) and phase noise effects on frequency-modulated continuous-wave (FMCW) radar transceiver front-end is modeled through statistical analysis of distortion and noise. We derive the signal to distortion plus noise ratio, constant false alarm rate, and range-Doppler sensitivity analysis for both the joint and the individual effects of impairments and validate the formulations with simulations. The represented modeling and analysis can be used in millimeter wave (mmWave) FMCW automotive radar signal processing algorithms for optimum transceiver design.
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| 5. |
- Pernstal, Thomas, et al.
(författare)
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GIP test for Automotive FMCW interference Detection and Suppression
- 2020
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Ingår i: 2020 IEEE RADAR CONFERENCE (RADARCONF20). - : IEEE. - 9781728189420
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Konferensbidrag (refereegranskat)abstract
- This paper addresses the problem of mutual interference between automotive radars. The rapid growth of automotive and commercial radar systems on the market does not only facilitate new applications, e.g., advanced driver assistant systems, but also put demands on the possibilities for co-existence, i.e. cohabitant systems. For military radar systems, various jammer and interference mitigation methods have been extensively analyzed and evaluated for decades. However, until now, the co-existence and influence of jamming/interference have almost been ignored for the commercial radar business. A Generalized Inner Product, GIP, test based outlier detector and interference estimation is presented here, which suppress the interferences only in those Directions of Arrival, DOA, and time domain portions where the nuisance signals appear. We will denote this GIP test based Interference Detector and Suppression as the GIDS method. Using GIDS, the target detection performance for the specific interference DOA will merely have a small loss instead of being completely suppressed, e.g., sample matrix inversion implementation of spatial nulling. The proposed technique is robust and does not rely on any calibration for the interference cancellation. Based on simulation and experimental data, we have shown that without losing target detection performance, we achieved up to about 30 dB enhancement for the Signal to Interference and Noise Ratio.
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