Rayleigh fading

Rician flat-fading simulation — line-of-sight plus scattered power

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Fading & Diversity — 6 lessons (same on every page in this path) 1. Rayleigh BER → 2. Clarke’s model (you are here) → 3. Young’s model → 4. SIMO models → 5. Selection combining → 6. MRC Tools: BER vs Eb/N0 · 3GPP TDL · CDL / Doppler Optional branch from Fading & Diversity. … Read more

Maximum ratio combining (MRC) — receive diversity that maximizes SNR

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MRC weights each diversity branch by its channel gain to maximize post-combiner SNR — formula, intuition, and comparison to selection combining.

Selection combining — pick the strongest receive branch

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MIMO & Diversity (same on every page in this path) 1. Diversity vs multiplexing → 2. SIMO models → 3. Selection combining (you are here) → 4. MRC → 5. MIMO overview Tools: Diversity & multiplexing demo Lesson 5 of 6. After SIMO models, selection combining is the intuitive baseline. Finish with maximum-ratio combining, which … Read more

M-PSK simulation — Matlab and Python BER curves for higher-order phase shift keying

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Digital Modulations 101 — 5 lessons (same on every page in this path) 1. BPSK → 2. QPSK → 3. M-PSK sim (you are here) → 4. QAM sim → 5. EVM Tools: BER vs Eb/N0 · EVM → SNR · Eb/N0 ↔ SNR Also on the Matlab → Python path (lesson 4 of 4): … Read more