Multistatic Multiband Passive Radar - Architecture and Sensor Cluster Results

Winkler, Volker; Fronken, Dietrich; Zeeb, Oliver; Lutz, Steffen

doi:10.1109/radar.2019.8835688

Cited by 9 publications

(4 citation statements)

References 11 publications

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“…Multi-band radar receivers employ multiple antennas and radio frequency (RF) channels in order to utilize multiple IOs at the same time. For example, different prototypes of such multi-band multiwaveform receivers were designed, implemented, also tested in [5], [8], [9] and these studies demonstrated that DVB-T, DAB, and FM radio signals can be effectively and jointly utilized for passive radar sensing. Moreover, by deploying multiple multiwaveform multi-band receivers and coordinating them through a central processing unit, it is possible to create an intelligent hybrid multistatic radar network as considered in this study.…”

Section: A Multi-waveform Multi-band Receiversmentioning

confidence: 99%

“…In multi-waveform passive radar systems, broadcasting signals can be acquired and processed by multi-band multiwaveform passive radar receivers for radar sensing and such receivers have been already designed, developed, and tested in [8]- [12]. Such receiver architectures were mainly designed to exploit DVB-T, DAB, and FM radio signals for radar target detection, because these broadcasting systems transmit high power and cover large areas, hence they can be utilized for long-range radar sensing applications.…”

Section: Introductionmentioning

confidence: 99%

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Improved Target Localization in Multiwaveform Multiband Hybrid Multistatic Radar Networks

2022

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This study proposes an algorithm to improve the target localization performance. This is implemented in a multi-waveform multi-band hybrid (passive and active) multistatic radar network scenario, that utilize broadcasting signals for radar sensing, in addition to the radar waveforms. Multi-waveform multi-band radar receivers can exploit the broadcast signals transmitted by noncooperative transmitters, such as communication or broadcasting systems, for target sensing in addition to radar waveform. Hence, multiple measurements of the targets can be acquired and fused to improve the target detection and parameter estimation. Because of utilizing various waveforms, each transmitter-receiver (Tx-Rx) pair has a different range and velocity estimation accuracy, that is also affected by the bistatic geometry of the bistatic pairs. Taking this into account, this study proposes a target localization algorithm based on bistatic Cram ér-Rao Lower Bounds (CRLBs) for multistatic multi-band radar networks. It is shown that modeling the entire network and evaluating the bistatic range CRLB of each bistatic pair in advance, and utilizing this information while estimating the target location significantly improves the localization accuracy. Moreover, the proposed algorithm also includes a target height estimation correction stage to achieve a better 3D localization accuracy.

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Section: A Multi-waveform Multi-band Receiversmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improved Target Localization in Multiwaveform Multiband Hybrid Multistatic Radar Networks

2022

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“…The graphic displays the final result of the study [15] Volker Winkler, Dietrich Fränken, Christian Erhart, Oliver Zeeb and Steffen Lutz: Multistatic Multiband Passive Radar -Architecture and Sensor Cluster Results, Hensoldt Sensors. The system architecture and relevant system components like the antenna, the receiver and the multi-hypothesis tracking system are introduced [21]. Figure 20 indicates the target tracking of a helicopter (marked blue) and some airliner targets (marked green) of opportunity.…”

Section: Rivera Radar and Its Receiver Configuration (The Author's Modification Based On [14])mentioning

confidence: 99%

“…In such a configuration, the coverage of large areas would be possible and the system will be able to support nationwide air surveillance programs like the U.S. Sensor program. Target tracking of a helicopter [21]…”

Section: Rivera Radar and Its Receiver Configuration (The Author's Modification Based On [14])mentioning

confidence: 99%

General Overview on the Radar Conference in Boston 2019

Balajti

2020

Hadmérnök

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A bostoni 2019-es radarkonferencia általános áttekintéseNowadays, 70-85% of the cost of modern warfare equipment is software-based solutions and services. These software modules define the quality and efficiency of the signal and data processing of the information of different sensors types. They are playing key roles in the artificial intelligence supported cognitive data processing and the effectiveness of the soldiers/decision-making commanders. The modernisation of the Hungarian Army, and the success of the Zrínyi 2026, basically depend on the understanding and professional service of the new technologies.

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