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

arXiv: https://arxiv.org/abs/2309.09044 · HTML: https://mlsanity.com/paper/2309.09044/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 50 references that are in the map.
- First posted on arXiv 16 Sep 2023.

## Builds on (most cited first, 4 of 4)

- [Design of Robust Adaptive Beamforming Algorithms Based on Low-Rank and Cross-Correlation Techniques](https://mlsanity.com/paper/1606.01313/) (2016)
- [Direction Finding Algorithms with Joint Iterative Subspace Optimization](https://mlsanity.com/paper/1402.2710/) (2014)
- [ULA Fitting for Sparse Array Design](https://mlsanity.com/paper/2102.02987/) (2021)
- [Study of Novel Sparse Array Design Based on the Maximum Inter-Element Spacing Criterion](https://mlsanity.com/paper/2208.09574/) (2022)

## Abstract (arXiv)

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.