IWRL6432BDBAAMF

Texas Instruments
595-IWRL6432BDBAAMF
IWRL6432BDBAAMF

Mfr.:

Description:
RF System on a Chip - SoC Single-chip low-powe r 57-GHz to 64-GHz

Lifecycle:
New Product:
New from this manufacturer.
ECAD Model:
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In Stock: 183

Stock:
183 Can Dispatch Immediately
Factory Lead Time:
18 Weeks Estimated factory production time for quantities greater than shown.
Minimum: 1   Multiples: 1
Unit Price:
£-.--
Ext. Price:
£-.--
Est. Tariff:

Pricing (GBP)

Qty. Unit Price
Ext. Price
£20.61 £20.61
£16.12 £161.20
£15.40 £385.00
£13.77 £1,377.00
£12.48 £3,244.80
£12.47 £6,484.40
1,040 Quote

Product Attribute Attribute Value Select Attribute
Texas Instruments
Product Category: RF System on a Chip - SoC
RoHS:  
Industrial Radar Sensor
ARM Cortex M4F
57 GHz to 64 GHz
400 Mbps
11 dBm
1.14 V
1.26 V
1 MB
- 40 C
+ 105 C
FCCSP-102
Tray
ADC Resolution: 12 bit
Brand: Texas Instruments
Data RAM Size: 512 kB
Data RAM Type: RAM
Height: 0.97 mm
Interface Type: CAN, I2C, SPI, UART
Length: 6.55 mm
Maximum Clock Frequency: 160 MHz
Moisture Sensitive: Yes
Mounting Style: SMD/SMT
Operating Supply Voltage: 1.2 V
Product Type: RF System on a Chip - SoC
Series: IWRL6432
Factory Pack Quantity: 260
Subcategory: Wireless & RF Integrated Circuits
Technology: Si
Width: 6.55 mm
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CAHTS:
8542310000
USHTS:
8542310070
ECCN:
5A991.b.6.b

IWRL6432 Industrial mmWave Radar Sensors

Texas Instruments IWRL6432 Industrial mmWave Radar Sensors are integrated single-chip mmWave sensors based on FMCW radar technology. These sensors operate at 57GHz to 63.9GHz band with 7GHz continuous bandwidth and are divided into four power domains. These radar sensors support multiple low-power modes, such as idle and deep sleep modes. The IWRL6432 sensors are divided into four power domains, such as RF/Analog sub-systems, Front-End Controller Sub-System (FECSS), Application Sub-System (APPSS), and Hardware Accelerator (HWA). Typical applications include building/factory automation, commercial/residential security, personal electronics, presence/motion detection, and gesture detection/recognition for human-machine interfaces.