The task for the SIMSENS' project (Simulation based sensor system assessment) is to develop a modular sensor system simulation program that can simulate sensor systems in various environments, weather conditions and time periods. The simulation tool that is further developed is the MSSLab (MultiSensorSimulationLab). In the SIMSENS' project various simulation models for terrain, objects and sensor, have been improved to make this possible. This report describes the work that has been performed in the project during 2011. In order to perform accurate simulation of sensor systems in various environments high quality models of the terrain are required. In MSSLab sensor systems can now be simulated in the terrain models: Kvarn, Norrköping and Afghanistan. A very important work has been to develop an automated methodology for automatic material classification of terrain models. The developed methodology has this year been used to classify the material of the three terrain models. For accurate simulations of the sensor system it is also very important that the object models are of high quality. A 3D model library of various objects and people has therefore been further developed. To make it possible to simulate sensor data with animated persons, HLAS (High-Level Animation System) has been further developed with new behaviors for animated people. Extensive work has been to further develop the different sensor models in MSSLab. During this year, sensor models for acoustic, infrared and laser have been further developed within the project. A scenario has been simulated with the new simulation models to study the sensor performance on a system level. The purpose of the simulated scenario is to study the possibility of automatically detecting people from a UAV. The performance of the detector and tracker has been studied for this scenario. Sound propagation from a UAV system has also been simulated to study the acoustic detection distance.