Ms. Yuhua Jiang Profile

Yuhua Jiang

at Institute of Microelectronics

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 18 December 2023 Paper

Simulation research on coherent detection of pulsed laser based on LFM

Yuan Ye, Jingguo Zhu, Chenghao Jiang, Zhihong Hu, Yuhua Jiang, Ruqing Liu, Zhonghe Liu

Proceedings Volume 12959, 129590C (2023) https://doi.org/10.1117/12.3002148

Read Abstract +

Aiming at the problem that the laser coherent detection system is easy to be annihilated in the noise in the long-distance and complex environment, resulting in the system unable to extract effective information, In this paper, the pulse compression theory and matched filter principle are analyzed, and a target high-precision matched filter LFM system model suitable for laser coherent detection is proposed, by transmitting a linear frequency modulation signal, combined with the matched filter algorithm to process the echo signal, realizes the target distance solution under the condition of low signal-to-noise ratio. At the same time, the influence of FM bandwidth on the multi-target extractionability under different SNR is studied, and the FM bandwidth-ranging accuracy model is established. Compared with the ordinary windowing algorithm, by increasing the system FM bandwidth, it can be effective in extremely low signal-to-noise ratios. Extract multi-target distance values. The simulation results show that under the condition of -40 dB signal-to-noise ratio, setting the frequency modulation bandwidth to 4 GHz can effectively achieve multi-target detection, and the ranging accuracy can reach 4.5 mm.

SPIE Journal Paper | 30 April 2020

Lenslets combination optimal design of the segmented planar image detector for electro-optical reconnaissance

Kang Cao, Zhengyu Ye, Chenghao Jiang, Jingguo Zhu, Zhi Qiao, Yuhua Jiang

OE, Vol. 59, Issue 04, 043105, (April 2020) https://doi.org/10.1117/12.10.1117/1.OE.59.4.043105

KEYWORDS: Image segmentation, Image quality, Imaging systems, Lens design, Sensors, Image sensors, Electro optical sensors, Electro optics, Reconnaissance, Image restoration

Read Abstract +

Segmented planar image detector for electro-optical reconnaissance (SPIDER) is a new type of lightweight and high-resolution computational imaging system that has applications in fields such as remote sensing terrain exploration, high precision military detection, and remote environmental monitoring. Currently, the lens combination methods used in the SPIDER system misses a large amount of the spatial-frequency information detected by each spoke’s lens array. The SPIDER imaging principle was analyzed with a particular focus on understanding the effect of the lenslets combination method on image quality. To optimize the quality of reconstructed images, we have proposed a pseudo two-layer parity configuration. To compare the quality of image restoration using the pseudo two-layer parity combination methods with previously existing methods, the entire imaging process was numerically simulated and the peak signal-to-noise ratio of each reconstructed image was estimated. The simulation demonstrated that the reconstructed image obtained using the pseudo two-layer parity combination was more similar to the original image and exhibited a higher image quality than the images reconstructed using other methods. These results indicate that the optical structure of the SPIDER system can be optimized by implementing the pseudo two-layer parity aperture combination method and this provides theoretical support for the further development of the SPIDER system.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years