Optimal fast-time beamforming with linearly independent waveforms
Signal Processing
Eight-phase sequence sets design for radar
WSEAS Transactions on Signal Processing
Designing unimodular sequence sets with good correlations: including an application to MIMO radar
IEEE Transactions on Signal Processing
Communications-inspired sensing: a case study on waveform design
IEEE Transactions on Signal Processing
Construction of unimodular sequence sets for periodic correlations
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Reducing the waveform cross correlation of MIMO radar with space: time coding
IEEE Transactions on Signal Processing
MIMO radar waveform design in colored noise based on information theory
IEEE Transactions on Signal Processing
Covert netted wireless noise radar sensor: OFDMA-based communication architecture
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Hi-index | 35.70 |
Orthogonal netted radar systems (ONRS) can fundamentally improve radar performance by using a group of specially designed orthogonal signals. A novel hybrid algorithm is proposed to numerically optimize such orthogonal polyphase code sets. The proposed algorithm integrates a statistical simulated annealing algorithm with the traditional iterative code selection method and is demonstrated to be effective for the design of polyphase signals used in ONRS. Some of the design results are presented and discussed. The effect of Doppler frequency shift on the performance of the designed signals is also investigated.