Advanced silicon MMICs for mm wave automotive radar front ends / vorgelegt von Master of Science Alexander Kravets.

Format:

Book

Author/Creator:

Kravets, Alexander, author.

Series:

Innovationen mit Mikrowellen und Licht. Forschungsberichte aus dem Ferdinand-Braun-Institut, Leibniz-Institut fur Hochstfrequenztechnik ; Band 34

Language:

English

Subjects (All):

Radar circuits.

Radar air traffic control systems.

Physical Description:

1 online resource (142 pages) : illustrations (some color), graphs.

Edition:

1. Auflage.

Place of Publication:

Gottingen, [Germany] : Cuvillier Verlag, 2015.

Summary:

This work presents a high-linearity automotive radar front-end at 77 GHz in 0.25 ?m SiGe technology. The passive elements were realized using thin-film microstrip lines. A detailed transformer balun synthesis procedure was developed. The realized passive baluns ("rat-race" and transformer) show excellent commonmode rejection ratios exceeding 30 dB and low losses of 2.5 dB. On the active side, a low-gain, high-linearity single stage common-emitter LNA was realized. The selected topology allowed finer trade-off between linearity and sensitivity of the front-end compared to multi-stage LNA solutions. For the mixer, a low-voltage supply, high-linearity, low-noise double-balanced concept was employed. It uses AC-coupling between the two stages, which allowed an independent optimization of transconductance, core sizing, and bias. The transconductance was designed for best noise performance, while the core was chosen for maximum linearity. A high-fidelity two-channel receiver was realized using these circuit components, which achieved a performance comparable to the published state-of-the-art results in SiGe: Single sideband noise figure better than 16.5 dB, 1 dB compression point exceeding -12 dBm, while consuming moderate 82 mA DC current from a 1.6 V supply for both channels.

Notes:

Includes bibliographical references.

Description based on online resource; title from PDF title page (ebrary, viewed September 30, 2017).

ISBN:

9783736949867

3736949863