2016 IEEE Radar Conference (RadarConf) 2016
DOI: 10.1109/radar.2016.7485192
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Radar ambiguity functions and resolution characteristics of Sudoku-based waveforms

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Cited by 10 publications
(3 citation statements)
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“…Another example of a Costas code solution was found when looking at 9 × 9 Sudoku matrices. The sequence [9,1,4,5,3,7,6,8,2] corresponds to the locations of the ones in the following Sudoku matrix shown in Figure 11. This sequence is a Costas code, but cannot be translated or rotated to fill in the remaining spaces.…”
Section: Costas Sudoku Solutionsmentioning
confidence: 99%
See 1 more Smart Citation
“…Another example of a Costas code solution was found when looking at 9 × 9 Sudoku matrices. The sequence [9,1,4,5,3,7,6,8,2] corresponds to the locations of the ones in the following Sudoku matrix shown in Figure 11. This sequence is a Costas code, but cannot be translated or rotated to fill in the remaining spaces.…”
Section: Costas Sudoku Solutionsmentioning
confidence: 99%
“…Previously, we investigated the use of Sudoku puzzles as a means to realize frequency-coded waveforms [6] similar to the well-known Costas coded sequences [7]. We explored the auto-ambiguity and cross-ambiguity functions of different Sudoku-coded waveforms and compared them to traditional Costas sequences and random sequences.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the array architecture follows a multi-sub-FDA transmission and receiving setup based on the work of Xu et al 5 The introduction of Sudoku based frequency offset schemes follows a new avenue research started by Narayanan et al wherein the authors analyze the potential Sudoku and Latin squares have for prescribing frequency-hopped radar waveforms. 6 The work on Sudoku was furthered by Bufler et al, who studied array element nulling schemes and beamsteering based on Latin Squares for use in antennas and radar applications. 7 Additionally, the formal Doppler tolerance of Sudoku and Costas based frequency hopped waveforms was studied by Correll et al 8 The motivation for these works stemmed largely from the work of Newton and Desalvo, who found that both Sudoku and Latin Square matrices have a higher Shannon entropy than randomly generated matrices of the same order.…”
Section: Introductionmentioning
confidence: 99%