Near-Clutter-Suppression in CW-Radar-Systems by Deterministic FSK-Modulation

This paper proposes a spectrum zoom processing based target detection algorithm for detecting the weak echo of low-altitude and slow-speed small (LSS) targets in heavy ground clutter environments, which can be used to retrofit the existing radar systems. With the existing range-Doppler frequency images, the proposed method firstly concatenates the data from the same Doppler frequency slot of different images and then applies the spectrum zoom processing. After performing the clutter suppression, the target detection can be finally implemented. Through the theoretical analysis and real data verification, it is shown that the proposed algorithm can obtain a preferable spectrum zoom result and improve the signal-to-clutter ratio (SCR) with a very low computational load.

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A Review: Recent Progress in the Design and Development of Nonlinear Radars

Remote Sensing ◽

10.3390/rs13244982 ◽

2021 ◽

Vol 13 (24) ◽

pp. 4982

Author(s):

Ashish Mishra ◽

Changzhi Li

Keyword(s):

Nonlinear Response ◽

State Of The Art ◽

Electronic Devices ◽

Vital Signs ◽

Clutter Suppression ◽

Flight Pattern ◽

Vital Signs Monitoring ◽

Radar Systems ◽

Migratory Patterns ◽

High Level

This paper presents an extensive review of nonlinear response-based radar systems. Nonlinear radars are generally used for clutter suppression purposes. These radars detect the nonlinear response generated by diodes and transistors are used as a tag for target localization. Utilizing the nonlinearity properties of these devices, these radars have been used for purposes including locating humans trapped in earthquakes and avalanches, identifying migratory patterns of animals, examining the flight pattern of bees, and detecting bugs in electronic devices. This paper covers the utilization of these radars in human vital signs monitoring, detecting targets in a clutter-rich environment, etc. State-of-the-art nonlinear radars’ high-level architectures, design challenges, and limitations are discussed here. Recent works and results obtained by the authors are also summarized.

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Discrete side-lobe clutter suppression by designing orthogonal projection filter in space-based radar systems

IET International Radar Conference (IET IRC 2020) ◽

10.1049/icp.2021.0843 ◽

2021 ◽

Author(s):

W. Wang ◽

Y. Liu ◽

C. Duan ◽

M. Tian ◽

Y. Li

Keyword(s):

Orthogonal Projection ◽

Side Lobe ◽

Clutter Suppression ◽

Radar Systems

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Periodic clutter suppression in iron road structures for automotive radar systems

IET Radar Sonar & Navigation ◽

10.1049/iet-rsn.2018.5270 ◽

2018 ◽

Vol 12 (10) ◽

pp. 1146-1153 ◽

Cited By ~ 9

Author(s):

Seongwook Lee ◽

Young‐Jun Yoon ◽

Jungmin Yoon ◽

Heonkyo Sim ◽

Seong‐Cheol Kim

Keyword(s):

Clutter Suppression ◽

Automotive Radar ◽

Radar Systems

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Portable Microwave Radar Systems for Short-Range Localization and Life Tracking: A Review

Sensors ◽

10.3390/s19051136 ◽

2019 ◽

Vol 19 (5) ◽

pp. 1136 ◽

Cited By ~ 13

Author(s):

Zhengyu Peng ◽

Changzhi Li

Keyword(s):

System Integration ◽

Short Range ◽

Continuous Wave ◽

Low Cost ◽

Consumer Electronics ◽

Radar Sensors ◽

Microwave Radar ◽

Radar Systems ◽

Driving Assistance ◽

Cw Radar

Short-range localization and life tracking have been hot research topics in the fields of medical care, consumer electronics, driving assistance, and indoor robots/drones navigation. Among various sensors, microwave and mm-wave continuous-wave (CW) radar sensors are gaining more popularity in their intrinsic advantages such as simple architecture, easy system integration, high accuracy, relatively low cost, and penetration capability. This paper reviews the recent advances in CW radar systems for short-range localization and life tracking applications, including system improvement, signal processing, as well as the emerging applications integrated with machine learning.

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