| Bi-stage Genetic Algorithm-Based Self-Interference Removal System for Antenna-less Backscatter Communication |
Handong Seo 
, Youngcheol Park
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Department of Electronics Engineering, Hankuk University of Foreign Studies, Yongin, Korea |
Correspondence:
Youngcheol Park,Email: ycpark@hufs.ac.kr
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Received: 10 June 2025 • Revised: 3 September 2025 • Accepted: 10 October 2025 |
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| Abstract |
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This paper presents an efficient method for removing self-interference (SI) in antenna-less backscatter communication systems that generate two distinct modulated signal states. The performance of monostatic backscatter systems is significantly degraded by strong SI from the transmitter leaking into the receiver. Previous approaches to addressing this have involved brute-force parameter sweeping, which is time-consuming and impractical for dynamic environments. We propose a bi-stage genetic algorithm (GA) that automatically optimizes the amplitude and phase parameters of a cancellation signal, thereby maximizing the ratio of the high-state to low-state centroid magnitudes, termed the high-low centroid ratio, derived from the I/Q constellation of the downconverted baseband signal. This ratio serves as a proxy for the separation between the desired signal states and the residual interference floor. The proposed system demonstrates rapid convergence to optimal SI suppression parameters. Experimental results, including visualizations of the GA’s search path and centroid evolution on the I/Q plane, illustrate the effectiveness and efficiency of the proposed automated approach for real-world antenna-less backscatter applications. |
| Key words:
Antenna-less Backscatter, Backscatter Communication, Genetic Algorithm, I/Q Plane Optimization, Self-Interference Cancellation |
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