Matched filter based iterative adaptive approach

Nepal, Ramesh; Zhang, Yan Rockee; Li, Zhengzheng; Blake, William

doi:10.1117/12.2223913

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…The PSLR of our proposed linear‐FM random radar waveform, similar to the traditional noise radar signal, cannot be improved by traditionally weighted windowing. Additional sidelobe suppression method, such as mismatched filter [33] and iterative adaptive approach [34], will be studied in future work to avoid the masking effect and restore the radar sensitivity.…”

Section: Numerical Simulation and Experiments Resultsmentioning

confidence: 99%

Linear‐FM random radar waveform compressed by dechirping method

Liu

Zhang

Dong

2019

IET Radar, Sonar & Navigation

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Section: Numerical Simulation and Experiments Resultsmentioning

confidence: 99%

Linear‐FM random radar waveform compressed by dechirping method

Liu

Zhang

Dong

2019

IET Radar, Sonar & Navigation

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“…However, transmitting more pulses leads to slow scan time. MF-IAA has been shown to increase the Doppler resolution by as much as ten times [12]. MF-IAA is a user parameter-free, iterative, weighted least square-based spectral estimation algorithm.…”

Section: Range-doppler Enhancementmentioning

confidence: 99%

“…For multiple targets (stationary and moving) and assuming no aliasing is taking place, Equation (1) can be rewritten as [12,13]: …”

Section: Range-doppler Enhancementmentioning

confidence: 99%

Sense and Avoid Airborne Radar Implementations on a Low-Cost Weather Radar Platform

Nepal

Zhang

Blake³

2017

Aerospace

Self Cite

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Traditionally, multi-mission applications in airborne radar are implemented through very expensive phased array architectures. The emerging applications from civilian surveillance, on the other hand, prefer low-cost and low-SWaP (space, weight and power) systems. This study introduces a software-based solution that intends to use low-cost hardware and advanced algorithms/processing backend to meet the remote sensing goals for multi-mission applications. The low-cost airborne radar platform from Garmin International is used as a representative example of the system platform. The focus of this study is the optimal operating mode, data quality and algorithm development in cases of all-weather sense and avoid (SAA) applications. The main challenges for the solution are the resolution limitation due to the small aperture size, limitations from the field-of-view (FOV) and the scan speed from mechanical scanning. We show that the basic operational needs can be satisfied with software processing through various algorithms. The concept and progress of polarimetric airborne radar for dual-function operations at X-band Generation 1 (PARADOX1) based on the platform are also discussed.

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Multi-Timeslot Wide-Gap Frequency-Hopping RFPA Signal and Its Sidelobe Suppression

Long

et al. 2023

IEEE Trans. Aerosp. Electron. Syst.

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Matched filter based iterative adaptive approach

Cited by 4 publications

References 3 publications

Linear‐FM random radar waveform compressed by dechirping method

Linear‐FM random radar waveform compressed by dechirping method

Sense and Avoid Airborne Radar Implementations on a Low-Cost Weather Radar Platform

Multi-Timeslot Wide-Gap Frequency-Hopping RFPA Signal and Its Sidelobe Suppression

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