To address the two prominent problems of serious noise pollution and high fuel cost faced by supersonic passenger aircraft in the descent phase， this paper takes Guangzhou Baiyun International Airport， a busy and representative civil aviation hub airport， as a research scenario. Based on the existing Performance Based Navigation（PBN）approach procedures and the performance parameters of the flight of supersonic airliners， an in-depth study is conducted. First， a preliminary approach procedure for supersonic airliners is designed based on the unique flight performance of supersonic passenger aircraft. Subsequently， by selecting noise-sensitive points near the airport， applying the noise assessment model and fuel consumption calculation model， and adopting the multi-objective intelligent optimization algorithm， the current PBN approach procedure is optimized and adjusted， so as to make the approach procedure more suitable for the actual operation of supersonic passenger aircraft during the landing phase， and to minimize the noise impact and fuel consumption under the prerequisite of safeguarding flight safety. The results of the study show that when the supersonic passenger aircraft follows the optimized approach procedure， the noise value and fuel consumption value are greatly improved compared with those before optimization. The noise value is reduced by 37.3% at most， and the overall operational noise impact is reduced by 9.2%. The fuel consumption value is reduced by 16.45% at most， and the overall operational fuel consumption is reduced by 11.8%.