【Stable and Reliable Operation】The 868MHz for RFID IoT Dedicated SAW Bandpass Filter ensures stable operation and a long running time, thanks to its for crystal RF bandpass filter and large heat dissipation area.
【Precise Filtering Performance】With a 1dB bandwidth of 4MHz and a steep cutoff, this filter offers precise filtering characteristics. It effectively filters out-of-band signals, reducing noise and increasing the dynamic range to optimize performance for RFID receivers and EU for LoRa IoT node devices.
【Compact and Lightweight】Designed with a small size and light weight, this filter is convenient to use and carry. It does not add unnecessary bulk or weight to your setup.
【Excellent Frequency Response】Featuring a center frequency of 868MHz, this filter provides a good pass-band ripple coefficient and out-of-band rejection. It ensures reliable and accurate signal transmission and reception.
【Wide Compatibility and Easy Installation】The filter is equipped with SMA-M and SMA-F interfaces, allowing easy integration into various setups. It is compatible with a wide range of devices, seamless connectivity.
Description
Feature:
*Crystal RF bandpass filter, large heat dissipation area, stable and long running time.
*The filter has a 1dB bandwidth of 4MHz and a steep cutoff.
*Small size, light weight, low insertion loss, and a center frequency of 868MHz.
*It has good pass-band ripple coefficient and out-of-band rejection.
*Performance optimization for 868MHz for RFID receivers and EU for LoRa IoT node devices, which can effectively filter out out-of-band signals, reduce noise and increase for dynamic range
Specification:
Impedance: 50 ohms
Center frequency: 868MHz
Passband (1DB bandwidth): 867~869MHz
In-band insertion loss:
Maximum Carrying Power: 100 for mW (20 dBm)
Interface: for SMA-M, for SMA-F
Package Contents:
1*Filter
Note:
1. The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.
2. Please allow slight manual measurement deviation for the data.