Sequence Design and Radar

Carefully designed sequences lie at the heart of virtually any digital system commonly used in our daily lives. Examples include GPS synchronization, multiuser CDMA systems, radar ambiguity function shaping, cryptography for secure transactions, and even the watermarking of digital images or videos. Each particular application requires a careful and delicate design of sequences or codes that enjoy some desirable properties such as low autocorrelation sidelobes for synchronization sequences, small cross-correlations in multiuser systems, and a proper response to Doppler effect in radar codes.

Papers

• Linlong Wu and Daniel P. Palomar, “Radar Waveform Design via the Majorization-Minimization Framework,” in Radar Waveform Design Based on Optimization Theory, 2020.
• Kaiming Shen, Wei Yu, Licheng Zhao, and Daniel P. Palomar, “Optimization of MIMO Device-to-Device Networks via Matrix Fractional Programming: A Minorization-Maximization Approach,” IEEE/ACM Trans. on Networking, vol. 27, no. 5, pp. 2164-2177, Oct. 2019.
• ​Linlong Wu and Daniel P. Palomar, “Sequence Design for Spectral Shaping via Minimization of Regularized Spectral Level Ratio,” IEEE Trans. on Signal Processing, vol. 67, no. 18, pp. 4683-4695, Sept. 2019.
• Tianyu Qiu, Xiao Fu, Nicholas D. Sidiropoulos, and and Daniel P. Palomar, “MISO Channel Estimation and Tracking from Received Signal Strength Feedback,” IEEE Trans. on Signal Processing, vol. 66, no. 7, pp. 1691-1704, April 2018.
• Linlong Wu, Prabhu Babu, and Daniel P. Palomar, “Transmit Waveform/Receive Filter Design for MIMO Radar With Multiple Sequence Constraints,” IEEE Trans. on Signal Processing, vol. 66, no. 6, pp. 1526-1540, March 2018.​
• Tianyu Qiu and Daniel P. Palomar, “Undersampled Sparse Phase Retrieval via Majorization-Minimization,” IEEE Trans. on Signal Processing, vol. 65, no. 22, pp. 5957-5969, Nov. 2017.
• Zhongju Wang, Prabhu Babu, and Daniel P. Palomar, “Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM,” IEEE Trans. on Signal Processing, vol. 65, no. 12, pp. 3247-3260, June 2017.
• Licheng Zhao and Daniel P. Palomar, “Maximin Joint Optimization of Transmitting Code and Receiving Filter in Radar and Communications,” IEEE Trans. on Signal Processing, vol. 65, no. 4, pp. 850-863, Feb. 2017.
• Linlong Wu, Prabu Babu, and Daniel P. Palomar, “Cognitive Radar-Based Sequence Design via SINR Maximization,” IEEE Trans. on Signal Processing, vol. 65, no. 3, pp. 779-793, Feb. 2017.
• Licheng Zhao, Junxiao Song, Prabu Babu, and Daniel P. Palomar, “A Unified Framework for Low Autocorrelation Sequence Design via Majorization-Minimization,” IEEE Trans. on Signal Processing, vol. 65, no. 2, pp. 438-453, Jan. 2017.
• Zhongju Wang, Prabu Babu, and Daniel P. Palomar, “Design of PAR-Constrained Sequences for MIMO Channel Estimation via Majorization-Minimization,” IEEE Trans. on Signal Processing, vol. 64, no. 23, pp. 6132-6144, Dec. 2016.
• Tianyu Qiu, Prabhu Babu, and Daniel P. Palomar, “PRIME: Phase Retrieval via Majorization-Minimization,” IEEE Trans. on Signal Processing, vol. 64, no. 19, pp. 5174-5186, Oct. 2016.
• Junxiao Song, Prabhu Babu, and Daniel P. Palomar, “Sequence Set Design With Good Correlation Properties Via Majorization-Minimization,” IEEE Trans. on Signal Processing, vol. 64, no. 11, pp. 2866-2879, June 2016.
• Junxiao Song, Prabhu Babu, and Daniel P. Palomar, “Sequence Design to Minimize the Weighted Integrated and Peak Sidelobe Levels,” IEEE Trans. on Signal Processing, vol. 64, no. 8, pp. 2051-2064, April 2016.
• Junxiao Song, Prabhu Babu, and Daniel P. Palomar, “Optimization Methods for Designing Sequences With Low Autocorrelation Sidelobes,” IEEE Trans. on Signal Processing, vol. 63, no. 15, pp. 3998-4009, Aug. 2015.