Multiple input multiple output (MIMO) radar is known for its superiority over conventional radar due to its antenna and waveform diversity. However, the increased hardware cost (due to multiple transmitters and receivers), power consumption (due to multiple transmitters and pulses), and computational complexity (due to numerous pulses) form the drawbacks of MIMO radar. On one hand, a higher estimation accuracy is required, but on the other hand, a lower number of active antennas/pulses is desirable. Therefore, in this paper, by proposing a convex optimization approach for the general case of transmitter-receiver-pulse selection, we will minimize the total number of active antennas/pulses in order to guarantee a prescribed performance accuracy. The performance measure we will optimize is the Cramer-Rao lower bound (CRLB) for the angle and velocity estimation accuracy of two targets, which provides a trade-off between the main beamwidth and the sidelobe level (SLL) of the ambiguity function.

Original languageEnglish
Title of host publicationConference Record of the 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
EditorsMichael B. Matthews
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages563-567
Number of pages5
ISBN (Electronic)978-1-5386-1823-3
DOIs
Publication statusPublished - 2018
Event51st Asilomar Conference on Signals, Systems, and Computers, ACSSC 2017 - Pacific Grove, CA, United States
Duration: 29 Oct 20171 Nov 2017
Conference number: 51
https://signalprocessingsociety.org/blog/acssc-2018-2017-asilomar-conference-signals-systems-and-computers

Conference

Conference51st Asilomar Conference on Signals, Systems, and Computers, ACSSC 2017
Abbreviated titleACSSC
CountryUnited States
CityPacific Grove, CA
Period29/10/171/11/17
Internet address

ID: 46620129