Projects per year
Abstract / Description of output
Designing transmit beampattern with MIMO radars generally requires the waveforms to be able to have arbitrary cross-correlation values. In contrast to the available algorithms, the proposed technique provides a closed-form solution for the synthesis of covariance matrix, R, of the waveforms to obtain desired beampattern match. To synthesis R the constraints and redundant information in R are leveraged, which convert the constrained problem into un-constrained problem. Next a novel method for generating the constant-envelope (CE) waveforms to realise the synthesised covariance matrix, R, is proposed. This method also yields a closed-form solution and choose the symbols from the binary-phase shift-keying (BPSK). Here, Gaussian random-variables (RV's) are mapped onto the CE RV's by a memoryless non-linear transformation, which converts the problem of finding the non-Gaussian RV's to realise a given covariance matrix R into finding the Gaussian RV's to realise covariance matrix R-g. Simulation results are presented to demonstrate the effectiveness of both methodologies.
Original language | Undefined/Unknown |
---|---|
Title of host publication | Radar Conference, 2010 IEEE |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 458 -463 |
Number of pages | 6 |
ISBN (Print) | 978-1-4244-5812-7 |
DOIs | |
Publication status | Published - 1 May 2010 |
Keywords / Materials (for Non-textual outputs)
- Gaussian random-variables
- MIMO radar transmit beampattern
- arbitrary cross-correlation values
- binary-phase shift-keying
- constant envelope waveforms
- covariance matrix
- memoryless nonlinear transformation
- Gaussian processes
- MIMO radar
- covariance matrices
- phase shift keying
Projects
- 1 Finished
-
Multiple-input multiple-output (MIMO); constant envelope (CE) : Exploiting Diversity Gain through MIMO Radar & Sonar Signal Processing
Mulgrew, B. & Thompson, J.
1/10/08 → 30/09/11
Project: Research