Mr. Dazhi Xu Profile

Dazhi Xu

SPIE Involvement:

Author

Publications (1)

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 | 29 March 2023 Paper

Long-time coherent accumulation algorithm for variable acceleration maneuvering targets based on TRT

Shu Zhang, Ming Li, Dazhi Xu

Proceedings Volume 12594, 125942R (2023) https://doi.org/10.1117/12.2671466

KEYWORDS: Detection and tracking algorithms, Target detection, Doppler effect, Radar signal processing, Monte Carlo methods, Silicon, Signal detection, Pulse signals, Computer simulations, Signal to noise ratio

Read Abstract +

Aiming at the high-order range walk and Doppler walk problems encountered by maneuvering targets in the long-time coherent accumulation process, a long-time coherent accumulation algorithm for variable acceleration maneuvering targets based on time reversing transform (TRT) is proposed. Firstly, the time series inversion transformation is performed on the echo signal after de-carrier frequency and pulse compression, which can correct the linear distance walking caused by the maneuvering target speed and the high-order distance walking and Doppler walking caused by the variable acceleration. Multi-linear function transformation is used to correct the second-order range walk and linear Doppler walk caused by acceleration. Finally, FFT and IFFT are used to achieve coherent accumulation of target energy. Simulation experiments show that the proposed algorithm is effective in correcting the moving objects with variable acceleration. At the same time, the detection performance of the algorithm is better than that of the PHAF algorithm, the RFT algorithm, the RFRFT algorithm and the RFRAF algorithm. It has lower computational complexity and does not require search for motion parameters.

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