Best Rf Low Pass Filter Suppliers – UHF 862-867MHz Bandpass Filter or Cavity Filter – Keenlion

Product Overview

The 862-867MHz RF Cavity Filter is a universal microwave/millimeter wave component, which is a kind of device that allows a particular frequency band to block other frequencies simultaneously. The filter can effectively filter out the frequency point of a specific frequency in the PSU line or the frequency other than the frequency point to obtain a PSU signal of a specific frequency, or eliminate a PSU signal of a specific frequency. Filter is a frequency selection device, which can make specific frequency components in the signal pass through and greatly attenuate other frequency components. Using this frequency selection function of the filter, interference noise or spectrum analysis can be filtered out. In other words, any device or system that can pass specific frequency components in the signal and greatly attenuate or inhibit other frequency components is called a filter.  

Typical applications

It has a good function of frequency selection and filtering in circuits and electronic high-frequency systems, and can suppress useless signals and noise outside the frequency band
It is used in aviation, aerospace, radar, communication, electronic countermeasure, radio and television and various electronic test equipment

When using, pay attention to the good grounding of the shell, otherwise it will affect the out of band suppression and flatness index

Limit parameters

Outline Drawing

Packaging & Delivery

Selling Units:Single item

Single package size: 16X9X6 cm

Single gross weight:1.5.000 kg

Package Type:Export Carton Package

Lead Time：

Company Profile

Sichuan Keenlion Microwave Technology Founded in 2004, Sichuan Keenlion Mircrowave techenology CO.,Ltd is the leading manufacturer of the Passive Mircrowave components in Sichuan Chengdu ,China.

Lowpass filter is one of over RF, microwave and millimeter wave components supplied by Sichuan Keenlion Microwave Technology. Our low pass filter can be bought and shipped worldwide the same-day as with our other in-stock RF parts.

Low pass filter: set a frequency point. When the signal frequency is higher than this frequency, it cannot pass through. In digital signals, this frequency point is the cut-off frequency. When the frequency domain is higher than this cut-off frequency, all values are assigned as 0. Because in this process, all low-frequency signals pass through, it is called low-pass filtering

Low pass filter example:

A solid barrier is a low-pass filter for sound waves. When playing music in another room, it is easy to hear the bass of the music, but most of the treble is filtered out. Similarly, the very loud music in one car sounds like a bass beat to the people in another car, because at this time, the closed car (and air gap) acts as a low-pass filter and weakens all the treble.

Electronic low-pass filters are used to drive subwoofers and other types of loudspeakers and block the treble beats they cannot propagate effectively.

Radio transmitters use low-pass filters to block harmonic emissions that may cause interference with other communications.

DSL separator uses low-pass and high pass filters to separate DSL and pots signals sharing twisted pair.

Low pass filters also play an important role in electronic music sound processing synthesized by analog synthesizers such as Roland.

Ideal and practical filter an ideal low-pass filter can completely eliminate all frequency signals above the cut-off frequency, and the signals below the cut-off frequency can pass through unaffected. The actual conversion area no longer exists. An ideal low-pass filter can be obtained by mathematical method (theoretically) multiplying the signal by the rectangular function in the frequency domain. As a method with the same effect, it can also be obtained by convolution with sinc function in the time domain.

However, such a filter is not realizable for the actual real signal. This is because the sinc function is a function extending to infinity. Therefore, such a filter needs to predict the future and have all the data in the past in order to perform convolution. This is possible for a pre recorded digital signal (zero is added at the back of the signal so that the resulting filtered error is less than the quantization error) or an infinite cycle signal.

Practical filters in real-time applications approximate the ideal filter by delaying the signal for a short period of time so that they can “see” a small part of the future, which has been proved by phase shift. The higher the approximation accuracy, the longer the delay required.

The sampling theorem describes how to reconstruct a continuous signal from digital signal sampling using a perfect low-pass filter and Nyquist Shannon interpolation formula. The actual digital to analog converters use approximate filters.

FAQ

Q:What is your product R & D idea?

A:Innovation changes the tradition and quality leads the future. Constantly innovate and upgrade products, strive for excellence, bring better and higher quality products to customers, constantly push through the old and bring forth the new, and improve the shortcomings of products

Q:What are the specific categories of your products?

A:We provide high-performance mirrowave components and related services for microwave applications at home and abroad. The products are cost-effective, including various power distributors, directional couplers, filters, combiners, duplexers, customized passive components, isolators and circulators. Our products are specially designed for various extreme environments and temperatures. Specifications can be formulated according to customer requirements and are applicable to all standard and popular frequency bands with various bandwidths from DC to 50GHz.