Phase Doppler Interferometry (PDI, PDA, PDPA) continues to be one of the most useful spray measurement instruments since its invention in 1980. A key limitation to PDI has been the requirement that only one droplet passes the measurement volume at a given time. This limits the maximum particle number density that the instrument can reliably measure, based on random arrivals. Coincident particle occurrences also introduce the probability of underreporting values such as number density, volume flux, and volume-based statistics. In this paper we present a new approach to capturing and analyzing PDI signals that allows for multiple droplets in the measurement volume at the same time. Existing signal processing systems rely on analog and/or digital Doppler burst signal detection that are reliable when coincident arrivals of particles at the probe volume are limited. However, under high number density conditions, these signal detection systems can remain active during several particle arrivals and accept this information as a single event only to be rejected later or to produce a faulty measurement. A new signal processing approach has been developed that allows for capturing long burst records that can contain multiple Doppler signals. New processing algorithms use this extended record and partition signals into sub-records which are then processed for the individual droplet signals, recovering individual measurements that would have been lost with conventional phase Doppler signal processors. Results when measuring a monodisperse droplet stream (which has a known droplet generation rate) with a large measurement volume (guaranteeing multiple droplets at the same time) are presented to show the method can recover the full data rate in contrast with conventional systems. Additional results from measurements in a dense spray are compared with a simple sampling tube to show recovery of the volume flux and number density in challenging environments.