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Detection gain of SSB-SC vs DSB-SC
Short answer
For SSB-SC, the detection gain is 1 (SNR_o/SNR_i). For DSB-SC, it is 2. However, both have a figure of merit of 1 relative to baseband, meaning for equal transmitted power and noise density, they provide the same output SNR despite different bandwidths.
Find the detection gain for SSB-SC demodulation and compare with DSB-SC.
Receiver model. The received signal plus white noise () passes through a band-pass (IF) filter of bandwidth , then a demodulator and a low-pass filter of bandwidth (message bandwidth).
s(t) +-------+ +-------+ +-----+
---->(+)-->| BPF |--->| demod |-->| LPF |--> y(t)
^ | B_T | | | | W |
w(t) +-------+ +-------+ +-----+
The filtered noise is narrowband and is written in in-phase/quadrature form
where and are low-pass, each with the same power as : .
Definitions. Message power .
- Input SNR
- Output SNR
- Detection gain ; figure of merit , where is the channel SNR measured in the message band (baseband reference). Both show how much the demodulator improves or worsens SNR.
SSB-SC (coherent detection). , .
- Signal power (since ); noise in , so .
- Multiply by and low-pass filter:
- Signal power , noise power , so
With baseband reference (, same transmitted power), figure of merit .
DSB-SC (coherent detection). , .
- Signal power ; noise in , so .
- Multiply by and low-pass filter:
The quadrature noise is rejected by coherent detection, giving a 3 dB gain. With baseband reference , figure of merit .
Comparison:
| Quantity | DSB-SC | SSB-SC |
|---|---|---|
| Transmission bandwidth | ||
| Noise power at input | ||
| (same ) | ||
| Detection gain | 2 | 1 |
| Figure of merit (baseband reference) | 1 | 1 |
The DSB-SC detection gain is twice that of SSB because the two sidebands add coherently (voltage) while the noise in them adds in power. But SSB lets in only half the noise bandwidth, so for the same transmitted power and same noise PSD, both give the same output SNR (figure of merit 1). SSB is preferred because it needs half the bandwidth.
✓ Answer checked by Claude Opus 5.5 (high effort)
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