Search Feature Matches Compatible Antennas To Radios

KP Performance Antennas, launched its online radio-to-antenna compatibility search feature. Reportedly, its easy-to-use filtering menu simplifies the search process of selecting the right antennas based on the user’s radio platform they are deploying in the field.

 

It is common in wireless network buildouts and deployments for engineers, field technicians and network operators to already know which access point and subscriber equipment radios they will be using. But with so many antenna options available for a single radio type, it becomes difficult to know exactly which antennas are compatible. The online tool allows users to quickly and easily identify exactly which of KP’s antennas work with their chosen radio.

Fierce AI Week

Register today for Fierce AI Week - a free virtual event | August 10-12

Advances in AI and Machine Learning are adding an unprecedented level of intelligence to everything through capabilities such as speech processing and image & facial recognition. An essential event for design engineers and AI professionals, Engineering AI sessions during Fierce AI Week explore some of the most innovative real-world applications today, the technological advances that are accelerating adoption of AI and Machine Learning, and what the future holds for this game-changing technology.

 

The expanded ‘parametric’ filtering option works in combination with the site’s existing search filters to further narrow the user’s results, making product selection more focused and less confusing. When searching for an antenna, customers can now filter results to match the radio they will be using, and when searching for a radio, customers are offered a filter menu of antennas to choose from. Once a filter is selected, the search results are reduced to display compatible product choices.

 

You can checkout the radio-to-antenna compatibility search tool and/or download a PDF version. For inquiries, call 855-276-5772.

 

KP Performance Antennas

17792 Fitch

Irvine, CA

978-682-6936

Suggested Articles

One forecast from Cameron Chell: the best AI designers of the future won’t come from top universities


Survey of 30 chipmakers offers a good sign for research and development of self-driving vehicles, analyst says

Research dollars for AV are expected to remain, if slowed, especially for companies that see self-driving as a key to their success