DC-5.5GHz Low Pass Filter
Sichuan Keenlion Microwave Technology cavity filters are designed by implementing resonant structures with very high Q and are ideal for narrow-band, high-selectivity applications. These designs can provide bandwidths as narrow as 1% with very high selectivity and excellent low noise floor. Low insertion loss combined with excellent power handling makes them well-suited for transmitter and receiver front end. Advanced filter design and construction enables stopband width greater than 3x the center frequency.
Sichuan Keenlion Microwave Technology cavity filters feature a special protective assembly to prevent accidental de-tuning that would otherwise require expensive replacement or return to factory for re-tuning. Precise machining allows realization of cavity filters with small form factors for applications where size is critical. Excellent repeatability across units is achieved through precise tuning and process control.
Low insertion loss
|Low signal loss results in better SNR in receiver front end and better power delivery to antenna in transmitter|
|Higher selectivity results in better adjacent channel rejection and dynamic range|
|Wide spur free band results in better receiver sensitivity|
High power handling
|Well suited for transmitter application|
|Prevents accidental de-tuning of precisely tuned resonant circuit|
|Insertion Loss in Passbands||≤1.8dB|
Packaging & Delivery
Selling Units: Single item
Single package size: 5.8×3×2 cm
Single gross weight: 0.25 kg
Package Type: Export Carton Package
|Quantity(Pieces)||1 - 1||2 - 500||>500|
|Est. Time(days)||15||40||To be negotiated|
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.
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.