1 Features

• FMCW Transceiver

– Integrated PLL, Transmitter, Receiver,

Baseband and ADC

– 57GHz - 64GHz Coverage With 7-GHz

Continuous Bandwidth

– 3 Receive Channels and 2 Transmit Channels

– Short Range (typically up to 25 m)

– 11 dBm Typical Output Power per Tx

– 12.5 dB Typical Noise Figure

– -89 dBc/Hz typical Phase Noise at 1MHz

– FMCW Operation

– 5 MHz IF Bandwidth, Real-only Rx Channels

– Ultra-accurate Chirp Engine Based on

Fractional-N PLL

– Per Transmitter Binary Phase Shifter

• Processing Elements

– Arm® M4F® Core With Single Precision FPU

(160 MHz)

– TI Radar Hardware Accelerator (HWA 1.2) for

FFT, Log Magnitude, and CFAR Operations (80

MHz)

• Supports Multiple Low-power Modes

– Idle Mode and Deep Sleep Mode

• Power Management

– 1.8-V and 3.3-V IO Support

– Built-in LDO Network for Enhanced PSRR

– BOM-Optimized and Power-Optimized Modes

– One or Two Power Rails for 1.8-V IO Mode,

Two or Three Power Rails for 3.3-V IO Mode

• Package Size: 6.45-mm × 6.45-mm Device

• Built-in Calibration and Self-test

– Built-in Firmware (ROM)

– Self-Contained on chip calibration system

• Host Interface

– UART

– CAN-FD

– SPI

• RDIF (Radar Data Interface) for Raw ADC Sample

Capture

• Other Interfaces Available to User Application

– QSPI

– I2C

– JTAG

– GPIOs

– PWM Interface

• Internal Memory

– 1MB of On-Chip RAM

– Configurable L3 Shared Memory for Radar

Cube

– Data and Code RAM of (512/640/768KB)

• FCCSP Package with 12 x 12, 102 BGA Balls

• AEC Q-100 Qualified

• Clock Source

– 40.0-MHz Crystal for Primary Clock

– Supports Externally Driven Clock (Square/Sine)

at 40.0 MHz

– 32-kHz Internal Oscillator for Low Power

Operations

• Supports Temperature Operating Range

– Operating Junction Temperature Range: –40°C

to 105°C

2 Applications

• Automated door/gate

• Motion detector

• Occupancy detection / people tracking / people

counting

• Video doorbell

• IP network camera

• Thermostat

• Air conditioner

• Refrigerators and freezers

• Vacuum robot

• Lawn mover

• Home theater

• PC/Notebooks

• Portable electronics

• Televisions

• Tablets

3 Description

The IWRL6432 mmWave Sensor device is an integrated single chip mmWave sensor based on FMCW radar

technology. The device is capable of operation in the 57-GHz to 64-GHz band and is partitioned into mainly four

power domains:

• RF/Analog Sub-System: This block includes all the RF and Analog components required to transmit and

receive the RF signals.

• Front-End Controller sub-System (FECSS): FECSS contains processor, responsible for radar front-end

configuration, control, and calibration.

• Application Sub-System (APPSS): APPSS is where the device implements a user programmable ARM

Cortex M4 allowing for custom control and automotive interface applications. Top Sub-System (TOPSS) is

part of the APPSS power domain and contains the clocking and power management sub-blocks.

• Hardware Accelerator (HWA): HWA block supplements the APPSS by offloading common radar processing

such as FFT, Constant False Alarm rate (CFAR), scaling, and compression.

IWRL6432 is specifically designed to have separate knobs for each of the above-mentioned power domains to

control their states (power ON or OFF) based on use case requirements. The device also features the capability

to exercise various low-power states like sleep and deep sleep, where low-power sleep mode is achieved by

clock gating and by turning off the internal IP blocks of the device. The device also provides the option of

keeping some contents of the device, like Application image or RF profile retained in such scenarios.

Additionally, the device is built with TI’s low power 45-nm RF CMOS process and enables unprecedented

levels of integration in an extremely small form factor. IWRL6432 is designed for low power, self-monitored,

ultra-accurate radar systems in the industrial (and personal electronics) space for applications such as

building/factory automation, commercial/residential security, personal electronics, presence/motion detection,

and gesture detection/recognition for human machine interfaces