Techniques for range-ambiguous clutter mitigation in space-based radar systems

2011 ◽  
pp. 235-264 ◽  
Author(s):  
Stephen Kogon ◽  
Michael Zatman
Keyword(s):  
Radar Systems ◽  
Clutter Mitigation

Wind Turbine Clutter Mitigation via Nonconvex Regularizers and Multidimensional Processing

2019 ◽  
Vol 36 (6) ◽  
pp. 1093-1104
Author(s):  
Yinan Hu ◽  
Faruk Uysal ◽  
Ivan Selesnick
Keyword(s):  
Wind Turbine ◽  
Weather Radar ◽  
Spectral Width ◽  
Previous Method ◽  
Weather Data ◽  
Doppler Velocity ◽  
Radar Systems ◽  
Previous Formulation ◽  
Clutter Mitigation

AbstractThis paper generalizes a previous formulation of signal separation problem for dynamic wind turbine clutter mitigation at weather radar systems. In this modified formulation, we use nonconvex regularizers together with multichannel overlapping group shrinkage (MOGS) to penalize weather signals and adopt multidimensional processing. We show the restored weather signals in plan position indicator (PPI) format and, to demonstrate the improvement, compare them with the ones produced by the previous method in reflectivity, spectral width, and Doppler velocity estimates of weather data. The improvement results from a better characterization of the sparsities of the weather radar returns. During the course of experiments, we observe that the proposed method successfully mitigates the wind turbine clutter and dramatically increases the signal-to-clutter ratio, even for different weather and wind turbine signatures. In addition, when the wind turbine clutter is weak in the mixture, our algorithm manages to attenuate the ground clutters and produces clutter-free weather signals favorable for further processing.

INTERFERENCE TO ACTIVE-PASSIVE RADAR SYSTEMS CREATED BY EMISSIONS FROM HF AND VHF BROADCASTING STATIONS

2020 ◽  
Vol 79 (10) ◽  
pp. 829-845
Author(s):  
V. I. Lutsenko ◽  
I. V. Lutsenko ◽  
A. V. Sobolyak ◽  
I. V. Popov ◽  
N. X. Ahn ◽  
...  
Keyword(s):  
Passive Radar ◽  
Radar Systems

Automotive Radars

2017 ◽  
Author(s):  
Sujeet Patole ◽  
Murat Torlak ◽  
Dan Wang ◽  
Murtaza Ali
Keyword(s):  
Signal Processing ◽  
Pedestrian Detection ◽  
Radar Signal ◽  
Automotive Radar ◽  
Estimation Algorithms ◽  
Radar Systems ◽  
Starting Point ◽  
Processing Techniques ◽  
Automotive Radars ◽  
Signal Processing Techniques

Automotive radars, along with other sensors such as lidar, (which stands for “light detection and ranging”), ultrasound, and cameras, form the backbone of self-driving cars and advanced driver assistant systems (ADASs). These technological advancements are enabled by extremely complex systems with a long signal processing path from radars/sensors to the controller. Automotive radar systems are responsible for the detection of objects and obstacles, their position, and speed relative to the vehicle. The development of signal processing techniques along with progress in the millimeter- wave (mm-wave) semiconductor technology plays a key role in automotive radar systems. Various signal processing techniques have been developed to provide better resolution and estimation performance in all measurement dimensions: range, azimuth-elevation angles, and velocity of the targets surrounding the vehicles. This article summarizes various aspects of automotive radar signal processing techniques, including waveform design, possible radar architectures, estimation algorithms, implementation complexity-resolution trade-off, and adaptive processing for complex environments, as well as unique problems associated with automotive radars such as pedestrian detection. We believe that this review article will combine the several contributions scattered in the literature to serve as a primary starting point to new researchers and to give a bird’s-eye view to the existing research community.

A Power Allocation Approach for 3D Target Tracking in Multistatic Radar Systems

2014 ◽  
Vol 35 (4) ◽  
pp. 901-907
Author(s):  
Jun-kun Yan ◽  
Feng-zhou Dai ◽  
Tong Qin ◽  
Hong-wei Liu ◽  
Zheng Bao
Keyword(s):  
Target Tracking ◽  
Power Allocation ◽  
Radar Systems ◽  
Multistatic Radar ◽  
Allocation Approach
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