Abstract
In this work, we investigate the waveform design scheme for multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) systems. We formulate two optimization problems: a communication-centric problem maximizing the signal-to-interference-plus-noise ratio (SINR) and a radar-centric problem maximizing the signal-to-clutter-plus-noise ratio (SCNR). To balance performance and computational complexity, we employ the block diagonalization (BD) method to mitigate interference, augmented by a precoding matrix that can be either multiplied or added to enhance design flexibility. Our analysis reveals that the multiplication-based approach better optimizes communication performance, whereas the addition-based approach preferentially improves sensing performance. Simulation results validate that the proposed schemes effectively enhance both communication and sensing performance.
| Original language | English |
|---|---|
| Pages (from-to) | 1717-1722 |
| Number of pages | 6 |
| Journal | IEEE Globecom Workshops, GC Wkshps |
| Issue number | 2025 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
| Event | 2025 IEEE Globecom Workshops, GC Wkshps 2025 - Taipei, Taiwan, Province of China Duration: 8 Dec 2025 → 12 Dec 2025 |
Keywords
- block diagonalization (BD)
- integrate sensing and communications (ISAC)
- MU-MIMO
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