| Allicdata Part #: | DM182022-ND |
| Manufacturer Part#: |
DM182022 |
| Price: | $ 34.64 |
| Product Category: | RF/IF and RFID |
| Manufacturer: | Microchip Technology |
| Short Description: | DEMO KIT BT ECM ETH CLIENT MOD |
| More Detail: | N/A |
| DataSheet: |  DM182022 Datasheet/PDF |
| Quantity: | 3 |
| 1 +: | $ 31.49370 |
Specifications
| Series: | -- |
| Part Status: | Active |
| Type: | Transceiver; Bluetooth® Smart 4.x Low Energy (BLE) |
| Frequency: | 2.4GHz |
| For Use With/Related Products: | -- |
| Supplied Contents: | Board(s) |
Description
Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us: sales@allicdata.com
RF Evaluation and Development Kits, Boards, have been used in a variety of applications. The FM182022 is one such kit, which is designed for applications demanding high efficiency and strength in the microwave and wireless domains. This section will discuss the application field and working principle of the DM182022.
For broadcast applications, the DM182022 is highly suitable for assessing the performance of a broadcast system or for measuring the signal strength being transmitted from a broadcast source. The kit is also suited for the imaging of antenna fields, making it preferable to measure the antenna\'s performance in different environments.
The DM182022 is also highly desirable for use in communication systems. It can be used to test and analyze the performance of communication nodes, such as base stations, antennas, and other elements of the communication system. In addition, the kit is useful in debugging communication systems, enabling users to identify and eliminate problems.
Lastly, the DM182022 is useful in the machine learning and artificial intelligence domains, as it is equipped with a variety of tools for both testing and validation. The kit is beneficial for both the science and technology fields as it has the capability to capture unique data which can be used for a variety of commercial and industrial applications.
The FM182022 works on the principle of sampling the signal, allowing it to capture data with a high resolution than other evaluation kits. It also has the unique capability to capture signals with a wideband and in real-time, giving the user more detailed data for analysis.
The DM182022 also includes the features of a monostatic spectrometer, leading to improved signal-to-noise ratio for better accuracy and noise reduction. This helps to define the performance of the communication link between two points more accurately.
Apart from the features discussed above, the DM182022 is also used for calibration of radiofrequency signals and for the syncing of oscillators. In addition, the kit also ensures that the signals propagated are of the right shape and amplitude.
The DM182022 is a powerful tool in the fields of radiofrequency signal generation, testing, and analysis. It is highly suitable for applications such as broadcast, communication systems, and machine learning. The working principle of the kit is based on the Direct Sampling concept, providing a high resolution for signal strength and temporal parameters. This enables the user to gain better insights into the performance of their communication link and identify potential areas of improvement.
Applications for the FM182022
The DM182022 can be used in several different applications. It is a versatile tool which can be used in the fields of radio frequency signal generation, testing, and analysis.For broadcast applications, the DM182022 is highly suitable for assessing the performance of a broadcast system or for measuring the signal strength being transmitted from a broadcast source. The kit is also suited for the imaging of antenna fields, making it preferable to measure the antenna\'s performance in different environments.
The DM182022 is also highly desirable for use in communication systems. It can be used to test and analyze the performance of communication nodes, such as base stations, antennas, and other elements of the communication system. In addition, the kit is useful in debugging communication systems, enabling users to identify and eliminate problems.
Lastly, the DM182022 is useful in the machine learning and artificial intelligence domains, as it is equipped with a variety of tools for both testing and validation. The kit is beneficial for both the science and technology fields as it has the capability to capture unique data which can be used for a variety of commercial and industrial applications.
Working Principle of the FM182022
The DM182022 is based on the Direct Sampling approach, which enables it to provide a wide variety of signal, strength, timing, and temporal parameters. The kit consists of a single board with 2 duum wideband core processors, an optimized analog to digital converter, a digital receiver, and an optimized interface.The FM182022 works on the principle of sampling the signal, allowing it to capture data with a high resolution than other evaluation kits. It also has the unique capability to capture signals with a wideband and in real-time, giving the user more detailed data for analysis.
The DM182022 also includes the features of a monostatic spectrometer, leading to improved signal-to-noise ratio for better accuracy and noise reduction. This helps to define the performance of the communication link between two points more accurately.
Apart from the features discussed above, the DM182022 is also used for calibration of radiofrequency signals and for the syncing of oscillators. In addition, the kit also ensures that the signals propagated are of the right shape and amplitude.
The DM182022 is a powerful tool in the fields of radiofrequency signal generation, testing, and analysis. It is highly suitable for applications such as broadcast, communication systems, and machine learning. The working principle of the kit is based on the Direct Sampling concept, providing a high resolution for signal strength and temporal parameters. This enables the user to gain better insights into the performance of their communication link and identify potential areas of improvement.
The specific data is subject to PDF, and the above content is for reference
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