Monopulse Beam Synthesis Using a Sparse Single Layer of Weights
Autor: | Joohwan Chun, Semin Kwak, Sung Hyuck Ye |
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Předmět: |
Signal Processing (eess.SP)
Optimization problem convex optimization Computer science MathematicsofComputing_GENERAL 02 engineering and technology argumentative reselection algorithm alternating projection method difference patterns FOS: Electrical engineering electronic engineering information engineering 0202 electrical engineering electronic engineering information engineering Array data structure Electrical Engineering and Systems Science - Signal Processing Electrical and Electronic Engineering Sequence 020206 networking & telecommunications monopulse radar Monopulse radar Physics::Accelerator Physics antennas Algorithm sparse array optimization Beam (structure) interleaved array hybrid approach |
Popis: | A conventional monopulse radar system uses three beams, namely, sum beam, elevation difference beam, and azimuth difference beam, which require different layers of weights to synthesize each beam independently. Since the multilayer structure increases the hardware complexity, many simplified structures based on a single layer of weights have been suggested. In this communication, we introduce a new technique for finding disjoint and fully covering sets of weight vectors, each of which constitutes a sparse subarray, forming a single beam. Our algorithm decomposes the original nonconvex optimization problem for finding disjoint weight vectors into a sequence of convex problems. We demonstrate the convergence of the algorithm and show that the interleaved array structure is able to meet difficult beam constraints. |
Databáze: | OpenAIRE |
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