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Get Started Free →Read BEFORE writing any code that adds Additive White Gaussian Noise (AWGN) to signals and converts between SNR, Eb/No, Es/No, and per-subcarrier SNR for communications simulations, using awgn(), convertSNR(), berawgn(). The default MATLAB patterns for AWGN (e.g., 'measured' option, manual SNR formulas) produce subtly incorrect results. This skill specifies the correct calling conventions, required function usage, and critical anti-patterns that must be avoided.
.claude/skills/matlab-matlab-add-awgn/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-12 | ✗→✓ | ▲ Improved | 106% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 47% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 60% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 99% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 78% | 0% |
Add white Gaussian noise to signals and convert between SNR definitions (SNR, Eb/No, Es/No, per-subcarrier SNR) for communications system simulations.
'measured' to awgn — Always pass explicit signal power as the third argument. For unit-power signals use 0; otherwise compute power with mean(abs(x).^2) and convert to dBW: 10*log10(sigPow). The 'measured' option computes instantaneous power internally, which gives incorrect noise levels after fading channels and obscures the power assumption. Even in AWGN-only scenarios, explicit power is required for correctness and clarity.UnitAveragePower=true when signal power doesn't matter — This is the simplest path: signal power = 0 dBW, so awgn(x, snr, 0) is exact. If the user needs original constellation scaling (e.g., PA modeling, hardware-in-the-loop), do NOT use UnitAveragePower=true — use the default modulator, compute the actual average power with mean(abs(x).^2), and pass it explicitly: awgn(x, snr, sigPowdBW).convertSNR for all conversions — NEVER compute SNR/Eb/No/Es/No formulas manually — Even when the formula is simple, always use convertSNR. Manual formulas are error-prone for edge cases (oversampling, subcarrier loading) and bypass the toolbox's validated implementation. Anti-pattern: snr = ebno + 10*log10(bitsPerSymbol * codeRate). Correct: convertSNR(ebno, "ebno", "snr", BitsPerSymbol=6, CodingRate=3/4).awgn needs, use two steps: (1) convertSNR(ebno, "ebno", "snr", BitsPerSymbol=..., CodingRate=...) gives the SNR per subcarrier, (2) convertSNR(snrsc, "snrsc", "snr", FFTLength=..., NumActiveSubcarriers=...) gives the wideband SNR for awgn. Direct ebno→snrsc is not supported and throws an error. Caveat: If the user asks for per-subcarrier SNR only, step 1 alone is the complete answer — do NOT apply step 2. Applying the FFTLength/NumActiveSubcarriers correction to a per-subcarrier value gives the wideband SNR, which is a different (lower) quantity. Note: The "snrsc" mode requires R2023b or later. For R2022a–R2023a, compute wideband SNR manually: snr_wideband = snr_per_sc - 10*log10(FFTLength/NumActiveSubcarriers).[y, nVar] = awgn(...) and pass nVar to the demodulator via NoiseVariance=nVar.'measured' with awgnmatlab% WRONG — never generate this rxSignal = awgn(txSignal, snrdB, 'measured'); % CORRECT for unit-power signals (UnitAveragePower=true) rxSignal = awgn(txSignal, snrdB, 0); % CORRECT for non-unit-power signals sigPow = mean(abs(txSignal).^2); rxSignal = awgn(txSignal, snrdB, 10*log10(sigPow));
matlab% WRONG — never generate manual formulas like these SNR_dB = EbNo_dB + 10*log10(k * codeRate); SNR_dB = EbNo_dB + 10*log10(k * codeRate) - 10*log10(oversamplingFactor); EsNo = EbNo + 10*log10(bitsPerSymbol); % CORRECT — always use convertSNR snrDb = convertSNR(ebnoDb, "ebno", "snr", BitsPerSymbol=6, CodingRate=3/4); snrDb = convertSNR(ebnoDb, "ebno", "snr", BitsPerSymbol=6, CodingRate=3/4, SamplesPerSymbol=4); esnoDb = convertSNR(ebnoDb, "ebno", "esno", BitsPerSymbol=6);
| Function | Purpose | |---|---| | awgn | Add AWGN to a signal at a specified SNR | | convertSNR | Convert between ebno, esno, snr, and snrsc | | berawgn | Theoretical BER over AWGN for standard modulations (PSK, QAM, FSK, DPSK, PAM) |
'measured' is banned (background)Thermal noise in a receiver is dominated by the noise figure and bandwidth — it does not change when the signal fades. The 'measured' option in awgn computes instantaneous signal power and scales noise to match, which artificially keeps the instantaneous SNR constant through fades. It also hides the power assumption, making code harder to verify. Always pass explicit power instead.
matlab% WRONG after fading: Noise tracks fading — instantaneous SNR stays constant rxFaded = fadingChannel(txSig); rxNoisy = awgn(rxFaded, snr, 'measured'); % CORRECT: Compute signal power before fading, pass explicitly sigPow = mean(abs(txSig).^2); sigPowdBW = 10*log10(sigPow); rxFaded = fadingChannel(txSig); rxNoisy = awgn(rxFaded, snr, sigPowdBW); % SIMPLEST: Use unit-power signal, then 0 dBW is exact txSig = qammod(data, M, UnitAveragePower=true); % power = 0 dBW rxFaded = fadingChannel(txSig); rxNoisy = awgn(rxFaded, snr, 0);
awgn default assumes 0 dBW signal powerCalling awgn(x, snr) without a third argument assumes the signal has 0 dBW (1W) average power. This is only correct if the signal actually has unit average power. For non-normalized signals, compute the actual power and pass it explicitly.
ebno↔snrsc conversion is not supportedconvertSNR supports these paths:
| From | To | Supported | Notes | |---|---|---|---| | ebno | snr | Yes | For OFDM: gives SNR per subcarrier (not wideband) | | ebno | esno | Yes | | | esno | snr | Yes | | | snr | snrsc | Yes | "snr" = wideband SNR, "snrsc" = per-subcarrier | | ebno | snrsc | No | Throws error. Use two-step: ebno→"snr" then "snrsc"→"snr" | | esno | snrsc | No | Throws error. Same two-step path required | | snrsc | ebno | No | Use two-step: "snrsc"→"snr" then "snr"→"ebno" | | snrsc | esno | No | Use two-step: "snrsc"→"snr" then "snr"→"esno" |
The awgn(rxFaded, snr, 0) pattern assumes the fading channel preserves average signal power. This is true when NormalizePathGains=true (the default for comm.RayleighChannel and comm.RicianChannel). If NormalizePathGains is false, the channel applies its actual path gains and the average received power shifts — you must account for this in the power argument to awgn.
matlab% NormalizePathGains=true (default): pre-fading power is correct chan = comm.RayleighChannel(NormalizePathGains=true, ...); rxFaded = chan(txSig); rxNoisy = awgn(rxFaded, snr, 0); % 0 dBW is still correct % NormalizePathGains=false: adjust for average path gain chan = comm.RayleighChannel(NormalizePathGains=false, ... AveragePathGains=[0 -3 -6], ...); avgGaindB = 10*log10(sum(10.^(chan.AveragePathGains/10))); rxFaded = chan(txSig); rxNoisy = awgn(rxFaded, snr, avgGaindB); % account for channel gain
The second output of awgn is the total noise variance. For complex signals, the per-component (I or Q) variance is half this value:
matlab[y, nVar] = awgn(x, snr, 0); % nVar = total noise variance % nVar/2 = per-component (I or Q) variance
berawgn takes Eb/No, not SNRIf you have SNR, convert to Eb/No first:
matlabebno = convertSNR(snr, "snr", "ebno", BitsPerSymbol=log2(M)); ber = berawgn(ebno, 'qam', M);
matlabM = 16; data = randi([0 M-1], 1000, 1); txSig = qammod(data, M, UnitAveragePower=true); snrdB = 15; [rxSig, noiseVar] = awgn(txSig, snrdB, 0);
matlabM = 64; % 64-QAM bitsPerSymbol = log2(M); % 6 codeRate = 3/4; % LDPC code rate samplesPerSymbol = 4; % Pulse shaping oversampling ebnoDb = 10; snrDb = convertSNR(ebnoDb, "ebno", "snr", ... BitsPerSymbol=bitsPerSymbol, ... CodingRate=codeRate, ... SamplesPerSymbol=samplesPerSymbol);
In the OFDM context, convertSNR(ebno, "ebno", "snr") returns the SNR per subcarrier (not wideband SNR). To get the wideband SNR needed by awgn, convert from "snrsc" to "snr".
matlabM = 64; bitsPerSymbol = log2(M); codeRate = 3/4; fftLen = 256; numActiveSC = 200; ebnoDb = 10; % Step 1: Eb/No → per-subcarrier SNR snrscDb = convertSNR(ebnoDb, "ebno", "snr", ... BitsPerSymbol=bitsPerSymbol, ... CodingRate=codeRate); % Step 2: Per-subcarrier SNR → wideband SNR (for awgn) snrWbDb = convertSNR(snrscDb, "snrsc", "snr", ... FFTLength=fftLen, ... NumActiveSubcarriers=numActiveSC);
matlabM = 16; data = randi([0 M-1], 1000, 1); txSig = qammod(data, M, UnitAveragePower=true); snrDb = 12; [rxSig, noiseVar] = awgn(txSig, snrDb, 0); % Pass noise variance to demodulator for accurate LLR computation softBits = qamdemod(rxSig, M, UnitAveragePower=true, ... OutputType="llr", ... NoiseVariance=noiseVar);
berawgn. See references/snr-conversion-guide.md.scatterplot or comm.ConstellationDiagram to inspect the received constellation.comm.EVM to quantify signal degradation from noise.| Load when... | Reference | |---|---| | Need theoretical BER curves, conversion formulas, berawgn usage, or common system examples | references/snr-conversion-guide.md |
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