We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Untangling multipath returns in MIMO radar via waveform diversity

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)

In some radar operating environments multipath clutter is the dominant source of interference. Since the multipath clutter may hide the desired target returns, an effective method of clutter suppression is required. MIMO radar systems can discriminate multipath returns from target returns by estimating the directions of departure and arrival. Multipath clutter suppression using the conventional beamformer is not effective when the multipath returns are much stronger than the target returns. However, effective multipath clutter suppression can be achieved by using an adaptive transmit beamformer in conjunction with an adaptive receive beamformer while still illuminating the entire scene. This work explores the simulated performance of a MIMO radar system with two adaptive filtering algorithms: Iterative Adaptive Approach and Sparse Learning via Iterative Minimization. Simulation results show that these algorithms effectively suppress multipath returns at the cost of increased computational complexity.

Published in:

Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th

Date of Conference:

17-20 June 2012