Sequential optimisation of orthogonal waveforms for MIMO radar

Abstract

The existing methods to design orthogonal waveforms for multiple-input multiple-output radar mainly focus on the optimisation of autocorrelation and cross-correlation properties. Their performance will degrade severely in the presence of Doppler shifts. To overcome this limitation, the authors take an unknown Doppler shifts range into consideration and formulate a new waveform optimisation problem. Since the optimisation problem is highly non-linear, the authors propose an algorithm, called sequential cone programming, to tackle it. The key idea is to use the first-order Taylor expansion to approximate the constraints at each iteration. The authors show that the approximation can be solved via second-order cone programming. In addition, the autocorrelation peak sidelobe level and cross-correlation peak level could be further reduced by setting an appropriate threshold function. Simulation results demonstrate the efficiency of the proposed method compared with state-of-art methods.

Keywords

• iterative methods
• optimisation
• mimo radar
• doppler radar
• approximation theory
• sequential optimisation
• mimo radar
• unknown doppler shifts
• waveform optimisation problem
• first-order taylor expansion
• second-order cone programming
• autocorrelation peak sidelobe level
• multiple-input multiple-output radar
• sequential cone programming
• orthogonal waveform optimisation
• autocorrelation property optimisation
• cross-correlation property optimisation
• cross-correlation peak level optimisation