Title :
Optimal waveform precoder design for narrowband MIMO radar systems
Author :
Balzan, Luke A. ; White, Langford B.
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Adelaide, Adelaide, SA, Australia
Abstract :
This paper addresses the problem of coded waveform design for Multiple Input - Multiple Output (MIMO) radar systems. The paper proposes a signal model based on the assumption of a small array aperture relative to the signal wavelength and a single target in far field. It is argued that near maximum likelihood performance can be obtained by choosing the transmitted waveforms on different antennas to be orthogonal. The Cramer-Rao Bound (CRB) for estimating the target distance, radial velocity and wavenumber is derived. The paper presents a convex optimisation procedure to yield an optimal energy distribution across the transmitted signals. Simulations demonstrate a reduction in CRB in the order of 25% compared to the use of a random unitary code. The paper concludes by indicating a natural generalisation of the method to optimal design for MIMO tracking radars.
Keywords :
MIMO communication; maximum likelihood detection; radar tracking; Cramer-Rao bound; MIMO radar systems; MIMO tracking radars; coded waveform design; convex optimisation; energy distribution; maximum likelihood performance; multiple input-multiple output radar systems; optimal waveform precoder design; radial velocity; random unitary code; signal wavelength; single target; small array aperture; target distance; wavenumber; Apertures; MIMO; Maximum likelihood estimation; Narrowband; Radar antennas; Radar tracking; Receiving antennas; Signal processing algorithms; Transmitters; Transmitting antennas; MIMO; diversity; optimisation; radar; tracking;
Conference_Titel :
Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4244-2709-3
Electronic_ISBN :
978-1-4244-2711-6
DOI :
10.1109/SSP.2009.5278526