DRIP: A Versatile Family of Space-Time ISAC Discrete-time Sequences

TL;DR

This paper introduces DRIP, a new family of space-time ISAC waveforms that enable dynamic PAPR control, multi-target sensing, interference suppression, and multi-user communication, validated through simulations.

Contribution

The paper presents a novel waveform family, DRIP, with a new optimization algorithm for joint sensing and communication, demonstrating improved performance and versatility.

Findings

DRIP waveforms effectively target multiple directions and suppress interference.

The block cyclic coordinate descent algorithm converges to an optimal solution.

Simulation results show superior ISAC performance and trade-offs.

Abstract

The following paper introduces Dual beam-similarity awaRe Integrated sensing and communications (ISAC) with controlled Peak-to-average power ratio (DRIP) waveforms. DRIP is a novel family of space-time ISAC waveforms designed for dynamic peak-to-average power ratio (PAPR) adjustment. The proposed DRIP waveforms are designed to conform to specified PAPR levels while exhibiting beampattern properties, effectively targeting multiple desired directions and suppressing interference for multi-target sensing applications, while closely resembling radar chirps. For communication purposes, the proposed DRIP waveforms aim to minimize multi-user interference across various constellations. Addressing the non-convexity of the optimization framework required for generating DRIP waveforms, we introduce a block cyclic coordinate descent algorithm. This iterative approach ensures convergence to an optimal ISAC waveform solution. Simulation results validate the DRIP waveforms' superior performance, versatility, and favorable ISAC trade-offs, highlighting their potential in advanced multi-target sensing and communication systems.