LGSep 16, 2023

Study of Enhanced MISC-Based Sparse Arrays with High uDOFs and Low Mutual Coupling

arXiv:2309.09044v1h-index: 60
Originality Synthesis-oriented
AI Analysis

This is an incremental improvement for signal processing applications like radar or communications.

The authors tackled the problem of designing sparse arrays with high uniform degrees-of-freedom and low mutual coupling by proposing an enhanced MISC-based sparse array, which outperforms existing arrays in simulations.

In this letter, inspired by the maximum inter-element spacing (IES) constraint (MISC) criterion, an enhanced MISC-based (EMISC) sparse array (SA) with high uniform degrees-of-freedom (uDOFs) and low mutual-coupling (MC) is proposed, analyzed and discussed in detail. For the EMISC SA, an IES set is first determined by the maximum IES and number of elements. Then, the EMISC SA is composed of seven uniform linear sub-arrays (ULSAs) derived from an IES set. An analysis of the uDOFs and weight function shows that, the proposed EMISC SA outperforms the IMISC SA in terms of uDOF and MC. Simulation results show a significant advantage of the EMISC SA over other existing SAs.

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