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| 레이 트레이싱 전파 모델× | 제로 포싱 및 최소 평균 제곱 오차 등화× | |
|---|---|---|
| 분야 | 통신공학 | 통신공학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1993 | 1974 |
| 창시자≠ | Maciel, Bertoni, and Xia | Saleh Mansour and Paul Zervos |
| 유형≠ | deterministic propagation algorithm | linear equalization algorithm |
| 원전≠ | Maciel, T. F., Bertoni, H. L., & Xia, H. H. (1993). Unified approach to prediction of propagation over buildings for all ranges of frequencies. IEEE Transactions on Vehicular Technology, 42(1), 41-45. link ↗ | Proakis, J. G. (2001). Digital Communications (4th ed.). McGraw-Hill. link ↗ |
| 별칭 | deterministic propagation, site-specific modeling | channel equalization, interference cancellation |
| 관련≠ | 4 | 5 |
| 요약≠ | Ray tracing is a deterministic propagation modeling technique for predicting electromagnetic field strength at specific locations. Instead of empirical formulas (like Okumura-Hata), ray tracing traces paths of electromagnetic energy as it reflects, diffracts, and scatters off buildings and terrain. With accurate 3D geometry and material properties, ray tracing predicts site-specific path loss, multipath delay profiles, and angle of arrival, making it ideal for detailed coverage planning, interference analysis, and system design. Ray tracing is now standard in professional cellular planning tools. | Zero-Forcing (ZF) and Minimum Mean-Square Error (MMSE) equalization are fundamental linear receiver algorithms for combating intersymbol interference in dispersive channels. Developed in the context of data transmission theory, these methods form the basis of modern channel equalization in wireless and wired systems. While ZF aggressively cancels interference, MMSE balances interference suppression with noise enhancement, making it the optimal linear solution under Gaussian noise. |
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