Modified Hybrid Integration Algorithm for Moving Weak Target in Dual-Function Radar and Communication System
To detect moving weak targets in the dual function radar communication (DFRC) system of an orthogonal frequency division multiplexing (OFDM) waveform, a modified hybrid integration method is addressed in this paper. A high-speed aircraft can cause range walk (RW) and Doppler walk (DW), rendering traditional detection methods ineffective. To overcome RW and DW, this paper proposes an integration approach combining DFRC and OFDM. The proposed approach consists of two primary components: intra-frame coherent integration and hybrid multi-inter-frame integration. After the echo signal is re-fragmented into multiple subfragments, the first step involves integrating energy across fixed situations within intra-frames for each subcarrier. Subsequently, coherent integration is performed across the subfragments, followed by the application of a Radon transform (RT) to generate frames based on the properties derived from the coherent integration output. This paper provides detailed expressions and analyses for various performance metrics of our proposed method, including the communication bit error ratio (BER), responses of coherent and non-coherent outputs, and probability of detection. Simulation results demonstrate the effectiveness of our strategy.
Authors
- Wenshuai Ji (ORCID: https://orcid.org/0009-0006-4925-5372)
- Tao Liu (ORCID: https://orcid.org/0000-0001-9529-6550)
- Biao Tian (ORCID: https://orcid.org/0000-0001-7259-3739)
- Yuxiao Song (ORCID: https://orcid.org/0000-0003-0779-2621)
- Nannan Zhu (ORCID: https://orcid.org/0000-0003-4038-3053)
- Haoran Yin (ORCID: https://orcid.org/0000-0002-6141-7681)
Institutions
- Sun Yat-sen University (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2024-09-27
- DOI
- https://doi.org/10.3390/rs16193601
- Citations
- 3
- Primary Topic
- Radar Systems and Signal Processing
- Type
- article
- Field-Weighted Citation Impact
- 3.90
Funders
- National Natural Science Foundation of China