FBP-1200s 1200MHz RF Coaxial Band Pass SAW Filter Bandwidth 20MHz SMA Interface
Feature:
1.Enhanced Signal Quality: The RF coaxial SAW bandpass filter effectively filters out noise and spurious signals, significantly improving signal quality. This leads to reduced signal distortion, increased accuracy, and enhanced overall performance in various applications.
2.Interference Suppression: The RF coaxial bandpass SAW filter excels at suppressing interference signals from other frequency ranges, ensuring a cleaner and more stable signal. By effectively filtering out unwanted signals, it enhances the reliability of data transmission and enables accurate communication in challenging RF environments.
3.Fast Response Time: Bandpass SAW filters are known for their quick response times, enabling them to rapidly and accurately process input signals. This fast response time is particularly advantageous in applications that require real-time data processing, such as communication systems and radar applications.
4.Reliability and Stability: Built using high-quality materials and advanced manufacturing techniques, RF coaxial band pass SAW filter exhibit exceptional reliability and stability. They are designed to withstand harsh operating conditions, ensuring consistent performance over an extended period of time.
5.Enhanced Performance: With a bandwidth of 20MHz and steep cutoff characteristics, the band pass SAW filter can optimize the performance of receivers operating at 1.2GHz or similar frequencies. It effectively filters out-of-band signals, reduces noise, and increases the dynamic range.
Specification:
Origin: Mainland China
Model: FBP-1200s
Impedance: 50 ohms
Center frequency: 1200 MHz
1dB passband: 1190-1210 MHz
Interpolation loss: < 1.5 dB
Maximum load capacity: 200 mW (23 dBm)
Interface: SMA-M, SMA-F
Size: 36x18x8mm/1.42x0.71x0.31inch
Note:
Due to the different monitor and light effect, the actual color of the item might be slightly different from the color showed on the pictures. Thank you!
Please allow 1-2cm measuring deviation due to manual measurement.
Superpris
