Noise, Sensitivity, and Receiver Design Receiver Architecture Informational

How does image rejection work in a superheterodyne receiver and what determines the image frequency?

In a superheterodyne receiver, the image frequency is the RF frequency that is separated from the desired signal by twice the IF, on the opposite side of the LO. The mixer converts both the desired signal and the image to the same IF, so the image must be rejected before or during the mixing process. Image rejection is achieved through preselector filtering (before the mixer) or image-reject mixer topologies (Hartley, Weaver) that cancel the image through phase differences.
Category: Noise, Sensitivity, and Receiver Design
Updated: April 2026
Product Tie-In: Mixers, Filters, LNAs

Understanding the Image Problem

The image frequency is a fundamental consequence of the mixing process. A mixer produces an output at the IF frequency for any input signal at fRF = fLO ± fIF. For low-side injection (fLO below fRF), the desired signal is at fLO + fIF and the image is at fLO - fIF. These two frequencies are separated by 2×fIF, and they both produce identical IF outputs. Without some mechanism to distinguish them, an interfering signal at the image frequency will appear as an in-band signal at the IF.

ParameterSuperheterodyneDirect ConversionDigital IF
Image Rejection60-90 dB (filter)30-50 dB (mismatch)N/A (digital)
DC OffsetNo issueMajor issueNo issue
LO LeakageLowHighLow
IntegrationDifficultEasy (single chip)Moderate
Dynamic Range80-120 dB60-90 dB70-100 dB
  • Performance verification: confirm specifications against the application requirements before finalizing the design
  • Environmental factors: temperature range, humidity, and vibration affect long-term reliability and parameter drift
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Common Questions

Frequently Asked Questions

How do I calculate the image frequency?

For low-side injection: f_image = fLO - fIF = fRF - 2×fIF. For high-side injection: f_image = fLO + fIF = fRF + 2×fIF. The image is always separated from the desired signal by exactly 2×fIF.

Why not just use a very high IF?

Higher IF provides better image rejection but at the cost of more expensive IF components, wider IF filters, and potentially more spurious responses. The optimal IF balances image rejection against these practical constraints.

Does direct conversion have an image problem?

Not in the traditional sense. In a zero-IF receiver, the image is the signal itself (mirrored around DC). I/Q imbalance causes incomplete cancellation of this self-image, but this is managed through digital correction rather than RF filtering.

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