SMA 50 Ohm RF Connectors and Cables
Samtec's subminiature interconnects with screw-type coupling offer a variety of terminations
Samtec's SMA is a subminiature interconnect with screw-type coupling. SMA is intermateable with 2.92 mm and 3.50 mm connectors and is ideal for size, performance, and cost-critical applications. Operating frequency reaches 18 GHz, with extended frequency versions to 26.5 GHz also available.
- SMA:
- Performance to 18 GHz
- 26.5 GHz options available
- 50 Ω impedance
- Through-hole, surface mount, edge mount, or mixed technology terminations
- Vertical or right-angle orientations
- Available on a variety of standard cable assemblies
- Precision cable connectors available for a variety of high-frequency industry-standard cables
- Cable connectors also available on RG 174 and RG 316
- Mechanically compatible with 2.92 mm and 3.50 mm interconnects
- Non-magnetic options available for medical and aerospace applications
- RF-174:
- VSWR: See RF174 graph
- Impedance: 50 Ω
- Bend radius: 25.4 mm min
- Capacitance: 101 pF/meter
- Operating temperature: -20°C to +80°C
- Frequency range: 6 GHz max (cable and connector dependent)
- Insertion loss: See RF174 graph
- 24 AWG, RG 174 cable
- Single or double ended
- Non-magnetic options available for medical and aerospace applications
- SMA-CA:
- SMA cable connectors
- Performance to 6 GHz (cable dependent)
- Straight or right-angle plug available on RG 174, RG 316, RG 402 (0.141"), RG 405 (0.086") or RG 58 cables
- Non-magnetic options available for medical and aerospace applications
- RF-316:
- VSWR: See RF316 graph
- Impedance: 50 Ω
- Bend radius: 12.8 mm min
- Capacitance: 96 pF/meter
- Operating temperature: -50°C to +165°C
- Frequency range: 6 GHz max (cable and connector dependent)
- Insertion loss: See RF316 graph
- 24 AWG, RG 316 cable
- Single or double ended
- Non-magnetic options available for medical and aerospace applications
- 5G networking
- Industrial
- Military/aerospace
- Test connectivity
- Medical
- Broadcast video
- Automotive
- AI/machine learning
- Instrumentation


