Design of phase codes with interval staggering for Doppler ambiguous target detection

• Published in: Electronics letters Vol. 49; no. 24; pp. 1564 - 1565
• Main Authors: Wei, Na, Zhang, Linke
• Format: Journal Article
• Language: English
• Published: Stevenage The Institution of Engineering and Technology 21.11.2013; Institution of Engineering and Technology; John Wiley & Sons, Inc
• Subjects: concave programming; Doppler; Doppler ambiguous target detection; Doppler effect; electromagnetic interference; Exact sciences and technology; Fundamental areas of phenomenology (including applications); interpulse phase coding optimisation model; nonconvex quadratically constrained quadratic program; object detection; Optical elements, devices, and systems; Optics; phase code design; phase coding; Physics; QCQP; quadratic programming; radar clutter; radar coherent pulse train encoding; radar detection; Radar, sonar and navigation; Range finders, remote sensing devices, laser doppler velocimeters, sar, and lidar; semidefinite relaxation algorithm; signal sampling; signal‐to‐interference‐plus‐noise ratio; staggered interval sampling; radar detection; phase coding; phase code design; object detection; Doppler effect; interpulse phase coding optimisation model; quadratic programming; semidefinite relaxation algorithm; radar coherent pulse train encoding; radar clutter; staggered interval sampling; nonconvex quadratically constrained quadratic program; QCQP; electromagnetic interference; signal sampling; Doppler ambiguous target detection; signal-to-interference-plus-noise ratio; concave programming; Interference; Constraint theory; Numerical method; Doppler radar; Background noise; Quadratic programming; Clutter; Target detection
• ISSN: 0013-5194; 1350-911X; 1350-911X
• DOI: 10.1049/el.2013.2328

The design of radar coherent pulse trains encoded with interval staggering for ambiguous Doppler target detection in clutter is addressed. To alleviate the Doppler ambiguous problem, an interpulse phase coding optimisation model is formulated in terms of staggered interval sampling, while maximising the output signal-to-interference-plus-noise ratio for improved target detection. Based on a reformulation of this optimisation problem as a non-convex quadratically constrained quadratic program (QCQP), a semidefinite relaxation algorithm for this QCQP is presented. Numerical results demonstrate the effectiveness of this proposed approach.