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Arbe Unveils First Automotive-Grade 30 fps 4D Imaging Radar Processor

Israeli startup Arbe, which has raised $55 million to date for its 4D imaging radar chipset, has announced the launch of its dedicated imaging radar processor chip—an exclusive first in automotive electronics.

The processor, compliant with AEC‑Q100 and ISO 26262 standards, can ingest raw data from 48 transmitting and 48 receiving channels and deliver 30 frames per second. This performance level surpasses any previous automotive radar processor, achieving it in a power‑efficient and cost‑effective package.

Designed on a 22FDX FDSOI CMOS process, the chip supports a virtual array of over 2,300 channels, far exceeding the 10 % bandwidth typically handled by current radars. Arbe claims 30 Gbps data throughput, 30 fps real‑time operation (33 ms per frame), and a maximum end‑to‑end latency of 34 ms.

The processor scales from high‑resolution to ultra‑high‑resolution modes, supporting more than 100,000 detections per frame. It integrates smart detection algorithms, clustering, post‑processing, and SLAM—all within a single silicon die. The design meets ISO 26262 with ASIL B qualification, positioning it for Tier 1 automotive suppliers.

Arbe’s RFIC complements the processor: a transmitter chip with 24 output channels and a receiver chip with 12 input channels, enabling TD‑MIMO operation with superior channel isolation, noise performance, and transmit power.

“We have incorporated processing capabilities that have never been achieved before in automotive radar,” said CEO Kobi Marenko. “Our technology will raise vehicle safety to a new level with low power and low cost. We’re excited to deliver the processor to Tier 1 customers as part of their next‑gen radar system.”

In terms of power, the chip consumes less than 4 W—comparable to the 10–20 W of today’s long‑range radars—while delivering roughly 10× the performance. Pricing is positioned below that of newer 12×16 radars, offering a 10‑fold performance boost for the same cost.

Original article published on EE Times.

Embedded

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