IK2524 Multi-Antenna Communication and Radar Sensing 7.5 credits

• Signal amplification with beamforming, beamforming patterns and channel capacity (bits/second) for channels with multiple antennas on one side of the link.
• Fading multi-antenna channels, spatial diversity and metrics to measure performance in these systems.
• Channel capacity for point-to-point MIMO systems and methods to achieve it.
• Channel capacity for multi-user MIMO systems and achievable performance with different linear processing methods in both uplink and downlink.
• Power control in MIMO systems.
• Models and optimization of OFDM-MIMO and the impact of analog/digital/hybrid receivers and transmitters.
• Transmitter localization by estimating angles-of-arrival of signals.
• Target detection for radar detection.

After passing the course, the student should be able to:

• describe and analyze the fundamental limitations when the wireless medium is used for communication and radar detection.
• apply a variety of different processing methods within multi-antenna technology to achieve high capacity in point-to-point communication and multi-user communication, and evaluate and interpret the results.
• apply a variety of different processing methods within multi-antenna technology to estimate angles of arrival and perform target detection, and evaluate and interpret the results.
• formulate and solve engineering problems regarding the achievable performance of multi-antenna communication and radar detection.
• implement, validate and compare the main theoretical concepts for multi-antenna communication and radar detection through computer simulations.
• describe in broad terms how multi-antenna technology is used in practical systems and how the technology is expected to develop according to the current research literature.

with the aim of

• being able to independently design systems that meet given performance requirements.
• in professional life, identify which multi-antenna methods are suitable for use in different contexts.

Knowledge of channel capacity in information transmission, for example, acquired through a completed course on communication systems equivalent to EP2130.

Knowledge of linear algebra, 7.5 credits, equivalent to a completed course SF1624/SF1672/SF1684.

Knowledge of probability theory and statistics, 6 credits, equivalent to a completed course SF1910–SF1925/SF1935 or a completed exam component TEN1 within SF1910/SF1925/SF1935.

• TEN1 - Written Exam, 5.0 credits, grading scale: A, B, C, D, E, FX, F
• LAB1 - Laboratory Work, 2.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability. The examiner may apply another examination format when re-examining individual students. If the course is discontinued, students may request to be examined during the following two academic years.

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.