Title :
Characterizations of PAPR-Constrained Radar Waveforms for Optimal Target Detection
Author_Institution :
Comput. Sci. & Math. Div., Oak Ridge Nat. Lab., Oak Ridge, TN, USA
Abstract :
We propose to design a peak-to-average power ratio (PAPR) constrained transmit waveform that achieves the optimal performance (following the Neyman-Pearson lemma) in detecting a target in the presence of signal-dependent interference. The direct time-domain approach allows straightforward characterizations of the correlation and PAPR properties of the designed signals, which are critically important to analyze the system performance in the presence of multiple targets and to assess the transmitter power-utilization, respectively. Therefore, instead of designing a transmit signal only for the optimal detection performance, we solve a biobjective Pareto-optimization problem, subjecting to the PAPR and total energy constraints, in order to simultaneously optimize the detection and cross-correlation performances. With extensive numerical examples, we demonstrate that PAPR-constrained signals produce nearly optimum detection performance even with a strict PAPR requirement, and also highlight the conflicting behavior of the detection and correlation performances.
Keywords :
Pareto optimisation; correlation methods; object detection; radar signal processing; time-domain analysis; waveform analysis; Neyman-Pearson lemma; PAPR constrained transmit waveform; PAPR properties; PAPR-constrained signals; biobjective Pareto-optimization problem; correlation properties; cross-correlation performances; direct time-domain approach; multiple targets; optimal detection performance; peak-to-average power ratio constrained transmit waveform; signal-dependent interference; target detection; total energy constraints; transmit signal; transmitter power-utilization; Algorithm design and analysis; Clutter; Electrostatic discharges; Noise; Peak to average power ratio; Radar; Pareto optimization; Waveform design; cross-correlation function; optimal target detection; peak-to-average power ratio;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2014.2299283