Monitoring　vital　signs　is　essential　for　assessing　individuals＇　health　status　and　supporting　various　medical　interventions;　however,　conventional　methods　depend　on　expensive　and　invasive　hospital-based　or　wearable　devices.　This　article　presents　a　novel　approach　to　contactless　heart　rate　monitoring　that　leverages　an　Antenna-on-Package　Pulse　Coherent　Radar　(AoP　PCR)　system.　To　address　the　inherently　low　sampling　rates　associated　with　the　pulse　repetition　frequency　of　the　PCR　during　remote　monitoring,　a　signal　enhancement　algorithm　is　presented.　This　algorithm　leverages　the　quasi-periodic　nature　of　chest　displacement　signals,　leading　to　significantly　improved　temporal　resolution　and　enabling　reliable　heart　rate　monitoring　using　a　cost-effective　PCR　system.　Furthermore,　extracting　heartbeat　signals　faces　a　significant　challenge　in　optimally　tuning　the　parameters　of　Variational　Modal　Decomposition　(VMD)　due　to　variations　in　distance　and　angle.　To　tackle　this,　an　enhanced　method　called　VMD　based　on　the　Whale　Optimization　Algorithm　with　Quasi-Reflection　Learning　(QRWOA-VMD)　has　been　devised　to　enhance　the　precision　of　parameter　optimization　in　VMD,　thereby　improving　the　decomposition　accuracy　of　heartbeat　signals　across　diverse　angles　and　distances,　leading　to　more　reliable　and　robust　heartbeat　signal　extraction.　Comprehensive　evaluation　demonstrates　that　the　proposed　method　achieves　over　97%　accuracy　in　heart　rate　monitoring　under　standard　conditions,　with　the　radar　facing　the　chest　within　a　1.5-meter　range.　Even　in　challenging　scenarios,　such　as　a　±30°　azimuth　angles　and　a　20°　elevation　angle　relative　to　the　chest,　accuracy　remains　above　93%.　©　2016　IEEE.