scholarly journals On optimum multi‐input multi‐output radar signal design: Ambiguity function, manifold structure and duration‐bandwidth

2021 ◽  
Author(s):  
Yuqing Liu ◽  
Jia Xu ◽  
Kon Max Wong ◽  
Timothy N. Davidson
Keyword(s):  
Ambiguity Function ◽  
Radar Signal ◽  
Signal Design ◽  
Manifold Structure

MIMO radar signal design to improve the MIMO ambiguity function via maximizing its peak

2016 ◽  
Vol 118 ◽  
pp. 139-152 ◽  
Author(s):  
Mohammad Mahdi Chitgarha ◽  
Mojtaba Radmard ◽  
Mohammad Nazari Majd ◽  
Seyyed Mohammad Karbasi ◽  
Mohammad Mahdi Nayebi
Keyword(s):  
Mimo Radar ◽  
Ambiguity Function ◽  
Radar Signal ◽  
Signal Design

OFDM radar signal design with optimized Ambiguity Function

2008 ◽  
Author(s):  
M. A. Sebt ◽  
Y. Norouzi ◽  
A. Sheikhi ◽  
M. M. Nayebi
Keyword(s):  
Ambiguity Function ◽  
Radar Signal ◽  
Signal Design

scholarly journals Evaluation of a class of NLFM radar signals

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Sebastian Alphonse ◽  
Geoffrey A. Williamson
Keyword(s):  
Search Space ◽  
Frequency Function ◽  
Radar Signal ◽  
Optimized Design ◽  
Nonlinear Frequency ◽  
Signal Design ◽  
Signal Model ◽  
Radar Systems ◽  
Comprehensive Comparison

AbstractSignal design is an important component for good performance of radar systems. Here, the problem of determining a good radar signal with the objective of minimizing autocorrelation sidelobes is addressed, and the first comprehensive comparison of a range of signals proposed in the literature is conducted. The search is restricted to a set of nonlinear, frequency-modulated signals whose frequency function is monotonically nondecreasing and antisymmetric about the temporal midpoint. This set includes many signals designed for smaller sidelobes including our proposed odd polynomial frequency signal (OPFS) model and antisymmetric time exponentiated frequency modulated (ATEFM) signal model. The signal design is optimized based on autocorrelation sidelobe levels with constraints on the autocorrelation mainlobe width and leakage of energy outside the allowed bandwidth, and we compare our optimized design with the best signal found from parameterized signal model classes in the literature. The quality of the overall best such signal is assessed through comparison to performance of a large number of randomly generated signals from within the search space. From this analysis, it is found that the OPFS model proposed in this paper outperforms all other contenders for most combinations of the objective functions and is expected to be better than nearly all signals within the entire search set.

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