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Multi-Frame Integration Method for Radar Detection of Weak Moving Target
- Source :
- IEEE Transactions on Vehicular Technology. 70:3609-3624
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- In this paper, we consider the multi-frame integration (including intra-frame integration and inter-frame integration) problem for the detection of weak moving targets, where range walk effect (RWE) occurs within the integration time. A novel integration method is proposed to achieve the accumulation of a target's multi-frame radar echoes. More specifically, the proposed integration method contains two main steps, where the modified Radon Fourier transform (RFT) is firstly used to realize the intra-frame coherent integration for every frame of echo signals. After that, the RFT-domain integration algorithm is presented to achieve the inter-frame coherent integration based on the characteristics of RFT outputs, during which the accumulation of target energy distributed in multiple frames could be realized. The explicit expressions and analysis for various performance measures of the proposed method, such as integration output response, probability of detection, input-output signal-to-noise ratio (SNR), and blind speed sidelobe (BSSL) response are derived and given. Simulation experiments are given to demonstrate the effectiveness of the proposed method.
- Subjects :
- Time delay and integration
Computer Networks and Communications
Computer science
Frame (networking)
Aerospace Engineering
020302 automobile design & engineering
02 engineering and technology
Object detection
Statistical power
law.invention
symbols.namesake
Fourier transform
Signal-to-noise ratio
0203 mechanical engineering
law
Automotive Engineering
symbols
Electrical and Electronic Engineering
Radar
Algorithm
Energy (signal processing)
Subjects
Details
- ISSN :
- 19399359 and 00189545
- Volume :
- 70
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi...........52dd77e0db78cacaaf443be072883946
- Full Text :
- https://doi.org/10.1109/tvt.2021.3066516