"Simulated Clutter Heat Maps For 5G NR-Based ISAC Applications"

"This dataset contains clutter heat map (CHM) measurements generated via simulation for an integrated sensing and communication (ISAC) scenario compliant with the 5G NR frame and slot structure. The CHMs are produced by exploiting shared communication\u2013sensing resources at a cellular base station operating at 3.7 GHz and are constructed over range and azimuth dimensions to represent average radar echo power within a predefined sensing region of interest. Two sensing waveform configurations are considered: (i) an OFDM-based sensing waveform embedded within the downlink symbols of the 5G NR slot, and (ii) a linear frequency modulated (LFM) chirp waveform allocated to a dedicated symbol duration, enabling a trade-off between communication throughput and sensing accuracy.The dataset is generated for a realistic simulation setup incorporating a 3GPP-compliant antenna radiation pattern, a multi-antenna base station, and a heterogeneous environment consisting of multiple stationary and moving scatterers with predefined geometric and radar cross-section characteristics. The sensing area spans a 45\u00b0 azimuth sector and is discretized into 1\u00b0 angular slices, while range resolution is determined by the sensing reception duration within the 5G NR slot. For each azimuth direction, multiple slot sequences are transmitted to enable the generation of range profiles, which are subsequently averaged across scans to form CHMs. A sliding-window recursive moving average mechanism with a configurable window length is employed to stabilize the CHM entries across successive sensing scans.The resulting dataset provides paired CHM sequences for OFDM- and LFM-based sensing configurations and is particularly suited for research on ISAC-based environment mapping, clutter characterization, antenna tilt failure detection and estimation, and low-complexity sensing performance evaluation under realistic 5G NR constraints. The dataset aims to support reproducible research and benchmarking of sensing algorithms operating on cellular ISAC platforms."