Strong Spurious Noise Suppression for an FMCW SAR

Li, X. Y.; Chang, Wenge; Tian, Haishan; Liu, Z. H.

doi:10.13164/re.2016.0581

Cited by 5 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…H. Tian from the University of Defense Science and Technology took on the challenge of reducing strong noise in compact FMCW SAR systems. They came up with a solution using the fast Fourier transform (FFT) technique [13]. Moving to 2019, K. Siddiq from the University of Bath introduced a phase noise theory tailored for FMCW radar systems.…”

Section: Introductionmentioning

confidence: 99%

Sunlight Noise Mitigation in FMCW LiDAR Using FADOF

Yin,

Tang,

Geng

et al. 2024

IEEE Photonics J.

View full text Add to dashboard Cite

This paper examines the potential of utilizing a Faraday anomalous dispersion optical filter (FADOF) to enhance noise reduction in a FMCW LiDAR (Frequency-Modulated Continuous-Wave Laser Detection And Ranging) system. While the FMCW LiDAR itself demonstrates a certain level of robustness, it may fail to operate effectively in the presence of significant background noise interference. To address this challenge, we have proposed a validation experiment utilizing FADOF technology. Specifically, we have introduced a FADOF component at the optical receiving end of the FMCW LiDAR, and we have implemented a dynamic frequency stabilization method that combines frequency stability with frequency modulation for the laser source in the transmitter. By integrating FADOF into the FMCW LiDAR system to mitigate external noise, we conduct indoor and outdoor validation experiments. In the outdoor experiment, we introduce real sunlight background noise into the system, allowing it to directly illuminate the receiver. We then filter the light using FADOF and a 10 nm filter, separately. The experimental results confirm that the FMCW LiDAR system, when equipped with FADOF, can operate normally in intense background light noise, with a noise resistance capability at least twice as effective as the 10 nm filter. Additionally, the system achieves a detection range of at least 17 meters under direct sunlight conditions. This study has the potential to extend the application of LiDAR systems to more extreme environments with strong background noise, enabling their functionality in a broader range of scenarios.

show abstract

Section: Introductionmentioning

confidence: 99%

Sunlight Noise Mitigation in FMCW LiDAR Using FADOF

Yin,

Tang,

Geng

et al. 2024

IEEE Photonics J.

View full text Add to dashboard Cite

show abstract

“…Various types of noise generated by instruments and ground clutter will inevitably affect the ranging accuracy of the FMCW lidar system [6] . Although FMCW lidar has a certain anti-noise ability, it is also very important to further develop its advantages.…”

Section: Introductionmentioning

confidence: 99%

Noise suppression of FMCW lidar

Geng

Yin

Qian

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Aiming at the problem that the ranging accuracy of the frequency-modulated continuous wave (FMCW) lidar decreases in the strong noise environment, experiments are carried out to verify the feasibility of the Faraday anomalous dispersion filter (FADOF) in the FMCW lidar system. The transmitter of the system uses the potassium atom vapor cell to stabilize the frequency and uses the field programmable gate array (FPGA) as the servo system. K-FADOF is used to suppress the additive noise at the receiving end of the lidar system. The results of this experiment show that the use of FADOF can successfully eliminate the interference of noise at the receiver. This experiment verifies the effectiveness of FADOF in suppressing noise in the field of FMCW lidar.

show abstract

“…The technique produces high azimuth resolution but requires large-area scanning. The SAR technology are currently used in, e.g., ground penetrating radar (GPR), vehicle, rail, and airborne applications [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

1-Tx/5-Rx Through-Wall UWB Switched-Antenna-Array Radar for Detecting Stationary Humans

Rittiplang

Phasukkit

2020

Sensors

View full text Add to dashboard Cite

This research proposes a through-wall S-band ultra-wideband (UWB) switched-antenna-array radar scheme for detection of stationary human subjects from respiration. The proposed antenna-array radar consists of one transmitting (Tx) and five receiving antennas (Rx). The Tx and Rx antennas are of Vivaldi type with high antenna gain (10 dBi) and narrow-angle directivity. The S-band frequency (2–4 GHz) is capable of penetrating non-metal solid objects and detecting human respiration behind a solid wall. Under the proposed radar scheme, the reflected signals are algorithmically preprocessed and filtered to remove unwanted signals, and 3D signal array is converted into 2D array using statistical variance. The images are reconstructed using back-projection algorithm prior to Sinc-filtered refinement. To validate the detection performance of the through-wall UWB radar scheme, simulations are carried out and experiments performed with single and multiple real stationary human subjects and a mannequin behind the concrete wall. Although the proposed method is an odd concept, the interest of this paper is applying the 1-Tx/5-Rx UWB switched-antenna array radar with the proposed method that is capable of distinguishing between the human subjects and the mannequin behind the concrete wall.

show abstract

Strong Spurious Noise Suppression for an FMCW SAR

Cited by 5 publications

References 20 publications

Sunlight Noise Mitigation in FMCW LiDAR Using FADOF

Sunlight Noise Mitigation in FMCW LiDAR Using FADOF

Noise suppression of FMCW lidar

1-Tx/5-Rx Through-Wall UWB Switched-Antenna-Array Radar for Detecting Stationary Humans

Contact Info

Product

Resources

About