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This study analyzes EEMR and proposes a dual-stage multi-reference spectral-subtraction compensation denoising (DMSCD) algorithm for field-strength measurement. DMSCD compares signal and pre-sampling noise spectra to identify and attenuate noise-dominant frequency components, and then applies Wiener-gain suppression to overlapping residual noise. To evaluate DMSCD, six baseline algorithms are selected. For 90 EEMR segments from 10 g \u03a6 20 mm \u00d7 20 mm RDX charges, DMSCD reduced the average peak-to-peak error to 74%, lower than that without denoising. Its reconstructed spectra retained clear signal peaks near 40, 126, 221, 270, 388, and 675 MHz, with 160\u2013337 MHz as the main frequency component. Compared with the baseline algorithms, DMSCD more effectively suppressed noise in the frequency domain while preserving time-domain pulse characteristics. In the processing of EEMR, DMSCD can effectively utilize the signal characteristics of the pre-sampling segment to identify and suppress the influence of broadband noise, achieving good denoising performance in the time\u2013frequency domain.<\/jats:p>","DOI":"10.3390\/s26196054","type":"journal-article","created":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T10:16:28Z","timestamp":1790244988000},"page":"6054","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Dual-Stage Multi-Reference Spectral-Subtraction Compensation Denoising Algorithm for Measuring Explosion Electromagnetic Radiation Field Strength"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-9925-8375","authenticated-orcid":false,"given":"Yu","family":"Hao","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, 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